Tumgik
#ArtisticStyle
suzylwade · 2 years
Photo
Tumblr media
Painterly Paws "This is a revolutionary book. Its historical overview, theoretical framework and photographic proof will disarm sceptics, many of them dog lovers, who refuse to acknowledge that cats can and do paint.“ - Nick Barnett, ‘The Dominion’ (NZ), October ’94. There are some books that are so out there, so delightfully oddball and perfectly bizarre, that you can't help but shout it from the rooftops. 'Why Cats Paint: A Theory of Feline Aesthetics’, by Heather Busch and Burton Silver is a deadpan satire of both art books and cat books. The book consists of in-depth profiles for each feline artists, their artistic styles, alongside photography and diagrams. You'll meet such notable cat painters as Misty (Misty Isadora Aengus Oge Woolf) a ‘Formal Expansionist’, Wong Wong and Lu Lu, the ‘Duo Painters’ who won the ‘Zampa d'Oro (‘Golden Paw’) award in 1992, and Princess (Princess Wrinklepaw Rothkoko) whose ‘Elemental Fragements’ style reduces her work to "almost totemic simplicity.” The book is presented complete with footnotes, historical citations, gallery and museum catalog references and expert interviews. Some of these references are fictional, some are real, but no one's telling which is which. This delivery occasionally borders on unnerving - the description going too far, reminding you that yes, this whole thing is a joke, (you read that right) - and you're in on it. Take Misty's work titled ‘Interring the Terrier’ depicting a small headless dog being stuffed inside a red armchair by two frogs and a sardine. I mean, its kinda genius, quite frankly. 'Why Cats Paint: A Theory of Feline Aesthetics’, Heather Busch, Burton Silver (1994), Published by ‘Idea’. #neonurchin #neonurchinblog #dedicatedtothethingswelove #suzyurchin #ollyurchin #art #music #photography #fashion #film #design #words #pictures #book #artbook #satire #historical #felineart #felineartists #artisticstyle #interringtheterrier #historicalperspective #artisticexpression #heatherbusch #burtonsilver #whycatspaint https://www.instagram.com/p/CeLQoeFoUkb/?igshid=NGJjMDIxMWI=
2 notes · View notes
sodakartist · 26 days
Text
Unlocking Creativity: Exploring Morning Rituals for Productivity
What are your morning rituals? What does the first hour of your day look like? By: SoDakArtist Embarking on the journey of creativity often begins with the rituals of dawn. As the sun stretches its golden fingers over the horizon, many artists, like myself, find solace and inspiration in the tranquility of the morning hours. Here’s a glimpse into my morning rituals, where the canvas of…
View On WordPress
0 notes
anantamohanta · 1 month
Text
Tumblr media
Create a Consistent Style for Your Children's Book Characters by Ananta Mohanta
https://www.anantamohanta.com/bDetails.aspx?s=create-a-consistent-style-for-your-children-s-book-characters-by-ananta-mohanta To check more creative art please visit : www.anantamohanta.com
0 notes
guillaumelauzier · 5 months
Text
Neural Style Transfer (NST)
Tumblr media
Neural Style Transfer (NST) is a captivating intersection of artificial intelligence and artistic creativity. This technology leverages the capabilities of deep learning to merge the essence of one image with the aesthetic style of another.
Basic Concept of Neural Style Transfer (NST)
Combining Content and Style: NST works by taking two images - a content image (like a photograph) and a style image (usually a famous painting) - and combining them. The goal is to produce a new image that retains the original content but is rendered in the artistic style of the second image. Deep Learning at its Core: This process is made possible through deep learning techniques, specifically using Convolutional Neural Networks (CNNs). These networks are adept at recognizing and processing visual information. Content Representation: The CNN captures the content of the target image at its deeper layers, where the network understands higher-level features (like objects and their arrangements). Style Representation: The style of the source image is captured from the correlations between different layers of the CNN. These layers encode textural and color patterns characteristic of the artistic style. Image Transformation: The NST algorithm iteratively adjusts a third, initially random image to minimize the differences in content with the target image and in style with the source image. Resulting Image: The result is a fascinating blend that looks like the original photograph (content) 'painted' in the style of the artwork (style).
How Neural Style Transfer Works with Python Example
Content and Style Images: The process begins with two images: a content image (the subject you want to transform) and a style image (the artistic style to be transferred). Using a Pre-Trained CNN: Typically, a pre-trained CNN like VGG19 is used. This network has been trained on a vast dataset of images and can effectively extract and represent features from these images. Feature Extraction: The CNN extracts content features from the content image and style features from the style image. These features are essentially patterns and textures that define the image's content and style. Combining Features: The NST algorithm then creates a new image that combines the content features of the content image with the style features of the style image. Optimization: This new image is gradually refined through an optimization process, minimizing the loss between its content and the content image, and its style and the style image. Result: The final output is a new image that retains the essence of the content image but is rendered in the style of the style image. Python Code Example: import tensorflow as tf import tensorflow_hub as hub import matplotlib.pyplot as plt import numpy as np # Load content and style images content_image = plt.imread('path_to_content_image.jpg') style_image = plt.imread('path_to_style_image.jpg') # Load a style transfer model from TensorFlow Hub hub_model = hub.load('https://tfhub.dev/google/magenta/arbitrary-image-stylization-v1-256/2') # Preprocess images and run the style transfer content_image = tf.image.convert_image_dtype(content_image, tf.float32) style_image = tf.image.convert_image_dtype(style_image, tf.float32) stylized_image = hub_model(tf.constant(content_image), tf.constant(style_image)) # Display the output plt.imshow(np.squeeze(stylized_image)) plt.show() This code snippet uses TensorFlow and TensorFlow Hub to apply a style transfer model, merging the content of one image with the style of another.
Detailed Section on Content and Style Representations in Neural Style Transfer
Feature Extraction Using Pre-Trained CNN: VGG19, a CNN model pre-trained on a large dataset (like ImageNet), is often used. This model effectively extracts features from images. Content Representation: - The content of an image is represented by the feature maps of higher layers in the CNN. - These layers capture the high-level content of the image, such as objects and their spatial arrangement, but not the finer details or style aspects. Style Representation: - The style of an image is captured by examining the correlations across different layers' feature maps. - These correlations are represented as a Gram matrix, which effectively captures the texture and visual patterns that define the image's style. Combining Content and Style: - NST algorithms aim to preserve the content from the content image while adopting the style of the style image. - This is done by minimizing a loss function that measures the difference in content and style representations between the generated image and the respective content and style images. Python Code Example: import numpy as np import tensorflow as tf from tensorflow.keras.applications import vgg19 from tensorflow.keras.preprocessing.image import load_img, img_to_array # Function to preprocess the image for VGG19 def preprocess_image(image_path, target_size=(224, 224)): img = load_img(image_path, target_size=target_size) img = img_to_array(img) img = np.expand_dims(img, axis=0) img = vgg19.preprocess_input(img) return img # Load your content and style images content_image = preprocess_image('path_to_your_content_image.jpg') style_image = preprocess_image('path_to_your_style_image.jpg') # Load the VGG19 model model = vgg19.VGG19(weights='imagenet', include_top=False) # Define a function to get content and style features def get_features(image, model): layers = { 'content': , 'style': } features = {} outputs = + layers] model = tf.keras.Model(, outputs) image_features = model(image) for name, output in zip(layers + layers, image_features): features = output return features # Extract features content_features = get_features(content_image, model) style_features = get_features(style_image, model) This code provides a basic structure for extracting content and style features using VGG19 in Python. Further steps would involve defining and optimizing the loss functions to generate the stylized image.
Applications of Neural Style Transfer
Video Styling: NST can be applied to video content, allowing filmmakers and content creators to impart artistic styles to their videos. This can transform ordinary footage into visually stunning sequences that resemble paintings or other art forms. Website Design: In web design, NST can be used to create unique, visually appealing backgrounds and elements. Designers can apply specific artistic styles to images, aligning them with the overall aesthetic of the website. Fashion and Textile Design: NST has been explored in the fashion industry for designing fabrics and garments. By transferring artistic styles onto textile patterns, designers can create innovative and unique clothing lines. Augmented Reality (AR) and Virtual Reality (VR): In AR and VR environments, NST can enhance the visual experience by applying artistic styles in real-time, creating immersive and engaging worlds for users. Product Design: NST can be used in product design to create visually appealing prototypes and presentations, allowing designers to experiment with different artistic styles quickly. Therapeutic Settings for Mental Health: There's growing interest in using NST in therapeutic settings. By creating soothing and pleasant images, it can be used as a tool for relaxation and stress relief, contributing positively to mental health and well-being. Educational Tools: NST can also be used as an educational tool in art and design schools, helping students understand the nuances of different artistic styles and techniques. These diverse applications showcase the versatility of NST, demonstrating its potential beyond the realm of digital art creation.
Limitations and Challenges of Neural Style Transfer
Computational Intensity: - NST, especially when using deep learning models like VGG19, is computationally demanding. It requires significant processing power, often necessitating the use of GPUs to achieve reasonable processing times. Balancing Content and Style: - Achieving the right balance between content and style in the output image can be challenging. It often requires careful tuning of the algorithm's parameters and may involve a lot of trial and error. Unpredictability of Results: - The outcome of NST can be unpredictable. The results may vary widely based on the chosen content and style images and the specific configurations of the neural network. Quality of Output: - The quality of the generated image can sometimes be lower than expected, with issues like distortions in the content or the style not being accurately captured. Training Data Limitations: - The effectiveness of NST is also influenced by the variety and quality of images used to train the underlying model. Limited or biased training data can affect the versatility and effectiveness of the style transfer. Overfitting: - There's a risk of overfitting, especially when the style transfer model is trained on a narrow set of images. This can limit the model's ability to generalize across different styles and contents. These challenges highlight the need for ongoing research and development in the field of NST to enhance its efficiency, versatility, and accessibility.
Necessary Hardware Resources for AI and Machine Learning in Art Generation
To effectively work with AI and machine learning algorithms for art generation, which can be computationally intensive, certain hardware resources are essential: High-Performance GPUs: - Graphics Processing Units (GPUs) are crucial for their ability to handle parallel tasks, making them ideal for the intensive computations required in training and running neural networks. - GPUs significantly reduce the time required for training models and generating art, compared to traditional CPUs. Sufficient RAM: - Adequate Random Access Memory (RAM) is important for handling large datasets and the high memory requirements of deep learning models. - A minimum of 16GB RAM is recommended, but 32GB or higher is preferable for more complex tasks. Fast Storage Solutions: - Solid State Drives (SSDs) are preferred over Hard Disk Drives (HDDs) for their faster data access speeds, which is beneficial when working with large datasets and models. High-Performance CPUs: - While GPUs handle most of the heavy lifting, a good CPU can improve overall system performance and efficiency. - Multi-core processors with high clock speeds are recommended. Cloud Computing Platforms: - Cloud computing resources like AWS, Google Cloud Platform, or Microsoft Azure offer powerful hardware for AI and machine learning tasks without the need for local installation. - These platforms provide scalability, allowing you to choose resources as per the project's requirements. Adequate Cooling Solutions: - High computational tasks generate significant heat. Therefore, a robust cooling solution is necessary to maintain optimal hardware performance and longevity. Reliable Power Supply: - A stable and reliable power supply is crucial, especially for desktop setups, to ensure uninterrupted processing and to protect the hardware from power surges. Investing in these hardware resources can greatly enhance the efficiency and capabilities of AI and machine learning algorithms in art generation and other computationally demanding tasks.
Limitations and Challenges of Neural Style Transfer
Neural Style Transfer (NST), despite its innovative applications in art and technology, faces several limitations and challenges: Computational Resource Intensity: - NST is computationally demanding, often requiring powerful GPUs and significant processing power. This can be a barrier for individuals or organizations without access to high-end computing resources. Quality and Resolution of Output: - The quality and resolution of the output images can sometimes be less than satisfactory. High-resolution images may lose detail or suffer from distortions after the style transfer. Balancing Act Between Content and Style: - Achieving a harmonious balance between the content and style in the output image can be challenging. It often requires fine-tuning of parameters and multiple iterations. Generalization and Diversity: - NST models might struggle with generalizing across vastly different styles or content types. This can limit the diversity of styles that can be effectively transferred. Training Data Biases: - The effectiveness of NST can be limited by the biases present in the training data. A model trained on a narrow range of styles may not perform well with radically different artistic styles. Overfitting Risks: - There's a risk of overfitting when the style transfer model is exposed to a limited set of images, leading to reduced effectiveness on a broader range of styles. Real-Time Processing Challenges: - Implementing NST in real-time applications, such as video styling, can be particularly challenging due to the intensive computational requirements. Understanding and addressing these limitations and challenges is crucial for the advancement and wider application of NST technologies.
Trends and Innovations in Neural Style Transfer (NST)
Neural Style Transfer (NST) is an evolving field with continuous advancements and innovations. These developments are broadening its applications and enhancing its efficiency: Improving Efficiency: - Research is focused on making NST algorithms faster and more resource-efficient. This includes optimizing existing neural network architectures and developing new methods to reduce computational requirements. Adapting to Various Artistic Styles: - Innovations in NST are enabling the adaptation to a wider range of artistic styles. This includes the ability to mimic more complex and abstract art forms, providing artists and designers with more diverse creative tools. Extending Applications Beyond Visual Art: - NST is finding applications in areas beyond traditional visual art. This includes video game design, film production, interior design, and even fashion, where NST can be used to create unique patterns and designs. Real-Time Style Transfer: - Advances in real-time processing capabilities are enabling NST to be applied in dynamic environments, such as live video feeds, augmented reality (AR), and virtual reality (VR). Integration with Other AI Technologies: - NST is being combined with other AI technologies like Generative Adversarial Networks (GANs) and reinforcement learning to create more sophisticated and versatile style transfer tools. User-Friendly Tools and Platforms: - The development of more user-friendly NST tools and platforms is democratizing access, allowing artists and non-technical users to experiment with style transfer without deep technical knowledge. These trends and innovations are propelling NST into new realms of creativity and practical application, making it a rapidly growing area in the field of AI and machine learning.
🌐 Sources
- Neural Style Transfer: Trends, Innovations, and Benefits - Challenges and Limitations of Deep Learning for Style Transfer - Neural Style Transfer: A Critical Review - Neural Style Transfer for So Long, and Thanks for all the Fish - Advantages and disadvantages of two methods of Neural Style Transfer - Evaluate and improve the quality of neural style transfer - Neural Style Transfer: Creating Artistic Images with Deep Learning - Classic algorithms, neural style transfer, GAN - Ricardo Corin - Mastering Neural Style Transfer - Neural Style Transfer Papers on GitHub - How to Make Artistic Images with Neural Style Transfer - Artificial Intelligence and Applications: Neural Style Transfer - Neural Style Transfer with Deep VGG model - Style Transfer using Deep Neural Network and PyTorch - Neural Style Transfer on Real Time Video (With Full Implementable Code) - How to Code Neural Style Transfer in Python? - Implementing Neural Style Transfer Using TensorFlow 2.0 - Neural Style Transfer (NST). Using Deep Learning Algorithms - Neural Read the full article
0 notes
jadelikesthislot · 8 months
Text
The Art of Visual Storytelling
Illustration is more than just pretty pictures; it is a form of visual storytelling that has been around for centuries. From cave paintings to modern-day digital art, illustrations have been used to communicate narratives, capture moments, and ignite our imagination. Through illustrations, artists can bring characters, landscapes, and ideas to life, allowing us to connect with the story on a deeper level.
0 notes
floreaart · 9 months
Text
Tumblr media
0 notes
delightfuldesignsx · 10 months
Text
Tumblr media Tumblr media Tumblr media Tumblr media Tumblr media Tumblr media
🎨 Discover the Artistic Magic of Henri Matisse's style 🌟
Unleash your inner art lover with our exquisite collection of canvas prints and printed merch, all inspired by the iconic Henri Matisse. Immerse yourself in the world of vibrant colors, bold shapes, and timeless beauty that Matisse's designs are renowned for.
🌿 Embrace Timeless Elegance: Our Henri Matisse-inspired collection captures the essence of artistic brilliance. From canvas prints to T-shirts, mugs, phone cases, and more, each piece showcases Matisse's distinctive style, infusing your life with a touch of creative sophistication.
✨ Transform Your Space: Elevate your home or office with the captivating charm of Matisse's designs. Adorn your walls with vibrant canvas prints that breathe life into any room. Dress up your attire with fashionable T-shirts that embody artistic expression. Make a statement with our printed merch, turning your surroundings into a personal gallery.
🎁 Perfect Gifts for Art Enthusiasts: Searching for a unique and meaningful gift? Our Henri Matisse-inspired printed merch is a delightful choice. Surprise your loved ones, art enthusiasts, or anyone who appreciates timeless beauty with a gift that speaks to their artistic soul.
🔥 Unparalleled Quality: Crafted with utmost care and precision, our printed merch guarantees exceptional quality. Immerse yourself in the rich colors, intricate details, and impeccable clarity that bring Matisse's art to life. Each piece is a testament to our commitment to excellence.
💫 Limited Edition Collection: This exclusive Henri Matisse-inspired line is available for a limited time only. Don't miss the opportunity to own a piece of artistry that will enhance your life and surroundings. Grab your favorites before they're gone!
📣 Share the Artistic Inspiration: Spread the word among your Tumblr community! Reblog and share this post with your followers who appreciate the beauty and significance of Henri Matisse's art. Let them discover the transformative power of our printed merch.
🛒 Shop Now: Visit HERE to explore our full range of Henri Matisse-inspired printed merch. Experience the allure of Matisse's designs and add a touch of artistic brilliance to your world.
✨ Immerse yourself in the captivating world of Henri Matisse's art with our exclusive collection of printed merch. Embrace the timeless beauty, express your artistic spirit, and let Matisse's designs ignite your imagination. Shop now! ✨
Shop Now
0 notes
theartmatrix007 · 10 months
Link
0 notes
Photo
Tumblr media
I love putting a bunch of my work together to see if I can find a theme, a thread that ties it all together. Some say this is your artistic style and the more that I create the more I'm starting to see it come through. What themes do you see in my work?
0 notes
shippudo · 3 months
Link
0 notes
kreativhafen · 5 months
Text
💀✨ Unveil your unique style with our Skull & Phones Racerback Dress! 🌹👗 Perfect for the lovers of artistic fashion. Reblog if you're ready to make a statement!
🛒🔗: https://kreativhafen.etsy.com/at/listing/1622361363/dress-to-impress-unleash-your-inner
#TumblrFashion #ArtisticStyle #SkullAndPhonesDesign #FashionInspo #DressGoals #Reblog #ExpressYourself #skull #SkullAndPhones
0 notes
sodakartist · 1 month
Text
The Digital Canvas: How Technology Fuels Global Artistic Reach and Recognition
How has technology changed your job? By SodakArtist In my journey as a full-time artist focused on online sales and global recognition, technology has become the cornerstone of my success, empowering me to transcend geographical boundaries and cultivate a widespread audience for my creations.1. **Global Online Platforms:** Leveraging e-commerce giants like Etsy, Shopify, and Amazon, I’ve…
View On WordPress
0 notes
snapshotify · 1 year
Video
youtube
Love Is In The Air Google Arts and Culture #LoveIsInTheAir #GoogleArtsAn... Love Is In The Air Google Arts and Culture #LoveIsInTheAir #GoogleArtsAndCulture #ValentinesDay Are you ready to fall in love with art? The Google Arts and Culture website has just released a blog post titled "Love Is In The Air," which explores the romantic side of art history. From iconic love stories to hidden symbols of love in art, this blog post will take you on a journey through the art world that is sure to leave you feeling inspired and enamored. The blog post features a collection of stunning images and interactive features that bring the stories to life. Learn about the epic love stories of Romeo and Juliet, Cupid and Psyche, and Orpheus and Eurydice. Discover hidden messages of love in famous works of art, from the Renaissance to the modern day. But this blog post isn't just about history – it's also about the present. Explore the ways in which contemporary artists are exploring the theme of love in their work, from street art to photography. Whether you're an art enthusiast or just someone who loves a good love story, "Love Is In The Air" is sure to capture your heart. So sit back, relax, and get ready to fall in love with art all over again. Don't forget to share this blog post with your friends and use the hashtag #LoveIsInTheAir to spread the love even further. And be sure to check out the Google Arts and Culture website for more amazing content that celebrates the beauty and power of art. Looking for the ultimate romantic escape? Look no further than "Love Is in the Air" by Google Arts and Culture. This breathtaking blog takes you on a journey through some of the world's most romantic places and explores the stories behind them. From the hidden gems of Paris to the stunning beaches of Bali, Love Is in the Air will transport you to some of the most picturesque and inspiring destinations on the planet. And the best part? You can do it all without ever leaving the comfort of your own home. With stunning photography, informative articles, and interactive features, this blog is the perfect way to explore the world of love and romance. Whether you're planning your next vacation or simply looking for a little inspiration, Love Is in the Air has something for everyone. So why wait? Head over to the Google Arts and Culture site and start exploring today. You never know where love might take you. #LoveIsInTheAir, #GoogleArtsAndCulture, #ValentinesDay, #RomanticArt, #ArtHistory, #ArtLovers, #CulturalHeritage, #ArtMuseum, #FineArts, #ArtExhibition, #OnlineExhibition, #VirtualTour, #ArtAppreciation, #GlobalArt, #ArtCollection, #ArtCurator, #ArtGallery, #ArtCommunity #LoveIsInTheAir #GoogleArtsAndCulture #RomanticEscapes #TravelInspiration #VirtualTravel #BucketListDestinations #ExploreTheWorld #LoveAndRomance #HiddenGems #BeautifulPlaces #DreamVacation #GoogleArtsAndCulture #LoveIsInTheAir #ArtAndCulture #ArtLovers #ArtHistory #ArtBlog #CulturalHeritage #Romance #LoveStories #HistoryOfLove #ArtisticExpression #ArtisticInspiration #Romanticism #ArtAppreciation #ArtMuseum #VirtualMuseum #ArtExhibition #ArtCollections #CulturalIdentity #CulturalDiversity #GlobalCulture #CulturalExchange #ArtisticCollaboration #ArtisticCommunity #ArtisticTrends #ArtisticInnovation #ContemporaryArt #ArtisticMovement #ArtisticExpression #ArtisticInspiration #ArtisticGenius #ArtisticPassion #ArtisticStyle #ArtisticDesign #ArtisticExpression #ArtisticVision #ArtisticSoul #ArtisticJourney #ArtisticMinds #ArtisticVibes #ArtisticPassion #ArtisticEnergy #ArtisticSpirit #ArtisticInspiration #ArtisticImagination #ArtisticFreedom #ArtisticExpressionism #ArtisticCreativity #ArtisticMindset #ArtisticAmbition #ArtisticInfluence #ArtisticTalent #ArtisticFlair #ArtisticDrive #ArtisticPotential #ArtisticMotivation #ArtisticPassionate #ArtisticHeart #ArtisticCommunity
0 notes
bysmakira · 2 years
Text
Tumblr media
Hear ye, hear ye! My favourite artist launched this DTIYS challenge to celebrate the Kickstarter campaign for her third artbook! 🥳 I'm so excited (and a tiny bit nervous) to join this challenge, and can't wait to get my copy of the book! 😍
On that note, here's my take on the lovely purple underwater girl! 🧜‍♀️💜
2 notes · View notes
vincentpaper · 4 years
Text
Tumblr media Tumblr media Tumblr media Tumblr media
reblog / like if you save them.
14 notes · View notes
cc-artistic-styles · 4 years
Video
Working InProgress !! What should I name her! ❤️and follow if you want to see more. #artisticstyle #artistsoninstagram #artist #protrait #progress #blackartistspace #blackart365 #blackartgang #artistsupport #charcoal #pastelart #charcoalpencils #artlover #artprogress #artposts #blackwomanmagic #blackartbusiness #blackwomanartist #art #artwork #artistsofinstagram #blackartnetwork (at Sanford, Florida) https://www.instagram.com/p/CEmqJsZHUik/?igshid=dfaw22ra4we
1 note · View note