The hottest Image Synthesis Substack posts right now

And their main takeaways
Category
Top Technology Topics

DALLE, AARON, Kata: Strategies for Legibility

Cybernetic Forests • 39 implied HN points • 28 Aug 22
🎨 Art & Illustration AI Art Image Synthesis Creative Process
  1. Harold Cohen developed AARON in the 1970s, an AI program that co-created art with him, showcasing a unique relationship between the artist and the machine.
  2. Artists can infuse their spirit into tools and images, as seen in the Japanese textile tradition, emphasizing purpose and repetitive practice.
  3. Strategies for artist legibility within sophisticated image-making systems like DALLE2 involve using prompts, selections, and exploring the concept of feedback loops through repetition and variation.

Generative A-Eye #17 - 15th Oct,2024

Martin’s Newsletter • 0 implied HN points • 15 Oct 24
đź•ą Technology AI Research Image Synthesis Computer Vision Animation
  1. New tools are being developed to improve how we create and animate 3D characters. These tools help generate human-like movements based on stories or plots.
  2. There are advancements in high-resolution image generation that can produce high-quality images quickly, even on standard laptops. This makes it easier to create detailed visuals without expensive equipment.
  3. Researchers are exploring ways to combine language with video, allowing users to find and interact with events in videos using simple text prompts. This could make video editing and creation more intuitive.

Generative A-Eye #16 - 14th Oct,2024

Martin’s Newsletter • 0 implied HN points • 14 Oct 24
đź•ą Technology AI Image Synthesis 3D Modeling Research
  1. A new method for creating detailed indoor scenes uses user descriptions to guide the design, making it easier to visualize spaces accurately. This system tries to remember past views but still has challenges with consistency.
  2. A recent development focuses on anonymizing full-body images using advanced AI tools. This could address privacy concerns, although it's unclear how much demand there is for this kind of technology.
  3. The newsletter shares updates on AI image synthesis research, keeping readers informed on popular topics and breakthroughs in the field. It’s a great resource for anyone interested in the latest AI advancements.

Generative A-Eye #15 - 10th Oct,2024

Martin’s Newsletter • 0 implied HN points • 10 Oct 24
đź•ą Technology AI Research Image Synthesis Machine Learning Neural Networks Digital innovation
  1. Using JPEG compression can actually improve the training of neural networks. It helps the models perform better and resist attacks.
  2. MimicTalk allows for creating 3D talking faces quickly, adapting to different identities in just 15 minutes. This makes it much faster than older methods.
  3. Adobe has developed a model for removing shadows from portraits, aiming for a more natural look. It rebuilds human appearance using advanced techniques.

Generative A-Eye #14 - 8th Oct,2024

Martin’s Newsletter • 0 implied HN points • 08 Oct 24
đź•ą Technology Artificial Intelligence Image Synthesis Machine Learning NLP Virtual reality
  1. There are new methods in AI for creating 3D clothing try-ons that use something called Gaussian Splatting. This could change how we shop for clothes online.
  2. Researchers are finding new ways to improve deepfake detection, which helps identify fake images and videos. This is important for keeping information trustworthy.
  3. A technique called AutoLoRA helps make AI models create better quality images while also maintaining diversity. This could lead to more creative and interesting results in image generation.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Generative A-Eye #13 - 7th Oct,2024

Martin’s Newsletter • 0 implied HN points • 07 Oct 24
đź•ą Technology AI Research Image Synthesis Data Privacy
  1. Diffusion models can be tricky because it’s hard to pull out the exact images they were trained on. A new study claims they can reconstruct a portion of that data, which could be important for legal issues.
  2. Researchers have developed a non-invasive way to estimate body weight using 3D imaging. This could really help in emergencies when weighing patients is difficult.
  3. A new tool called ScriptViz helps writers by providing visuals from a large movie database based on their scripts. This can improve their creative process by giving them diverse visual ideas.

Generative A-Eye #12 - 4th Oct,2024

Martin’s Newsletter • 0 implied HN points • 04 Oct 24
đź•ą Technology AI Image Synthesis Data science Machine Learning
  1. Generative avatars in AI are expected to struggle with expressing complex emotions. Most current models depend on limited emotional recognition methods, which may not capture the full range of human feelings.
  2. The field of human image synthesis needs better data to improve how emotions are generated in avatars. Recent research introduced a new metric to help assess 3D facial expressions based on emotional descriptions.
  3. New methods are being developed to enhance the quality of AI-generated images. A recent innovation can increase the accuracy of image prompts without sacrificing the visual quality of the output.

Generative A-Eye #10 - 1st Oct,2024

Martin’s Newsletter • 0 implied HN points • 01 Oct 24
đź•ą Technology AI Research Image Synthesis Video Processing Machine Learning Computer Vision
  1. There are some new methods in AI for creating realistic videos of people, which focus on tricky aspects like how loose clothes move.
  2. A new technique in recognizing facial expressions shows better results, improving understanding of how people express emotions.
  3. Some AI projects are working on improving how we replace or animate people in videos, aiming for more realistic and believable results.

Generative A-Eye #9 - 30th Sept,2024

Martin’s Newsletter • 0 implied HN points • 30 Sep 24
đź•ą Technology AI Image Synthesis Research Video Generation Machine Learning
  1. A new method creates realistic videos of talking faces by combining 2D and 3D techniques. This can lead to better video avatars, although the initial results weren't perfect.
  2. Researchers are working on a new avatar technology that makes head avatars the right way without requiring heavy processing power. This could make avatar technology more accessible for regular devices.
  3. There's a toolkit available for analyzing facial expressions in real life. It combines various techniques to improve understanding of human emotions from images.

Generative A-Eye #8 - 26th Sept,2024

Martin’s Newsletter • 0 implied HN points • 26 Sep 24
đź•ą Technology Artificial Intelligence Machine Learning Image Synthesis 3D Modeling Virtual reality
  1. A new method called MIMO helps create full-body human avatars using AI, making videos look more consistent and lifelike.
  2. A system called DreamWaltz-G can generate 3D avatars from 2D images by combining skeleton data and advanced diffusion techniques.
  3. There are ways to improve AI image generation by fine-tuning existing models, helping them create more realistic images, like fixing issues with images of people lying down.

Generative A-Eye #7 - 24th Sept,2024

Martin’s Newsletter • 0 implied HN points • 24 Sep 24
đź•ą Technology AI Research Image Synthesis Deep Learning Video Generation
  1. New AI methods are improving the reconstruction of humans in loose clothing from videos. This makes it possible to create realistic 3D models even when outfits move and change shape a lot.
  2. A project called MIMAFace is focused on creating realistic facial animations using a mix of motion and identity features. It helps in generating video animations that look smooth and consistent.
  3. Hair modeling in 3D graphics is getting better with new techniques like using Gaussian splatting. This approach allows for accurate and realistic representations of hairstyles in visual media.

Generative A-Eye #6 - 23rd Sept,2024

Martin’s Newsletter • 0 implied HN points • 23 Sep 24
đź•ą Technology AI Image Synthesis Video Editing Machine Learning Deepfakes
  1. AI video generation is still struggling to create coherent narratives in movies, despite advances. People have been hopeful for improvements, but past technologies didn't deliver.
  2. Recent research from China offers a new method for portrait video editing, focusing on facial expressions and coherence in video frames. This could help make videos that look better and feel more natural.
  3. There's a new framework for detecting deepfake images that aims to protect facial identity. It cleverly alters facial features to keep manipulated images anonymous.

Generative A-Eye #5 - 20th Sept,2024

Martin’s Newsletter • 0 implied HN points • 20 Sep 24
đź•ą Technology AI Image Synthesis Research Innovation Machine Learning
  1. Many AI models struggle to keep characters and settings consistent in videos and images. This can be a problem when people want to create stories with clear narratives.
  2. A new project called StoryMaker aims to fix this issue by ensuring characters look the same across different images and scenes. It does this with some advanced techniques but can be quite resource-intensive to use.
  3. There's a noticeable trend in AI image and video generation research, where many systems use Western characters despite coming from East Asia. This raises questions about representation in AI technology.

Generative A-Eye #4 - 19th Sept,2024

Martin’s Newsletter • 0 implied HN points • 19 Sep 24
đź•ą Technology AI Research Image Synthesis Data science Computer Vision Machine Learning
  1. A new method called GaussianHeads can create realistic and dynamic 3D models of human heads using video inputs. This helps capture facial expressions and head movements in real-time.
  2. The research uses a system that combines CGI techniques to enhance the quality of deepfake and human avatar production. It aims to improve how we animate faces based on video footage.
  3. Another interesting paper evaluated AI models by collecting 2 million votes to gauge their effectiveness. This shows the growing need for thorough testing in AI development.

Generative A-Eye #3 - 18th Sept,2024

Martin’s Newsletter • 0 implied HN points • 18 Sep 24
đź•ą Technology AI Image Synthesis Computer Vision Deep Learning Generative models
  1. Gaussian Splatting is seen as a strong alternative to traditional deepfake methods, especially for smaller projects like commercials and music videos. Some experts believe it may not be ready for big Hollywood movies yet, but it shows promise.
  2. OmniGen is a new image generation model that simplifies tasks like image editing and can perform many functions without needing extra systems. However, its legality is questionable due to data sources.
  3. A new method for detecting deepfakes uses a phone's vibration to reveal inconsistencies in fake videos, providing a practical solution to identifying deepfakes in real time.

Generative A-Eye #2 - 17th Sept,2024

Martin’s Newsletter • 0 implied HN points • 17 Sep 24
đź•ą Technology AI Research Image Synthesis Facial Recognition Computer Vision Data Analysis
  1. The best day for submitting new AI research papers tends to be Tuesday. This timing is likely chosen to catch attention after the weekend.
  2. This year has seen fewer exciting advancements in AI-based human synthesis, with technologies being reused rather than creating entirely new concepts.
  3. New research is focusing on better facial expression recognition and human reconstruction from single images, showing promise in areas like understanding micro-emotions.

Generative A-Eye #1 - 16th Sept,2024

Martin’s Newsletter • 0 implied HN points • 16 Sep 24
đź•ą Technology AI Image Synthesis Computer Vision Human-Machine Interaction Data Privacy
  1. InstantDrag offers a new way to edit images by simply dragging, making it easier and faster than using complex commands. It's designed specifically for improving interactivity in image editing tools.
  2. The study on facial expression recognition introduces a method that doesn’t rely on traditional systems, aiming to better understand and represent human emotions. This could open new doors for AI in understanding human feelings.
  3. There's a growing concern about privacy in AI model training, particularly with generative models. Research shows that it's possible to reveal private images used in training, raising important questions about data safety.

The Freudian CLIP

Cybernetic Forests • 0 implied HN points • 16 Oct 22
đź•ą Technology AI Image Synthesis Training Data Psychoanalysis
  1. Describing AI models through psychoanalysis can be a metaphorical way to understand their behavior, even though AI doesn't have human-like unconscious desires.
  2. AI models like DALLE2 have strict content restrictions to avoid generating explicit or suggestive content, but there are ways to try and bypass these restrictions, leading to the concept of spurious content.
  3. Exploring the boundaries and limitations of AI-generated images using methods like psychoanalysis can help reveal hidden aspects of the training data and understand how these models interpret and generate content.

Generative A-Eye

Martin’s Newsletter • 0 implied HN points • 12 Sep 24
đź•ą Technology AI Image Synthesis Machine Learning Research Visual Effects
  1. The newsletter will become daily and focus on exciting new research in human image synthesis. This will help keep subscribers updated on the latest advancements.
  2. The author has gained extensive knowledge about AI-based image synthesis through their work at Metaphysic and wants to share this with readers. They have seen how challenging it is to create human-like images using AI.
  3. The newsletter will include selected research papers and summaries to help researchers and readers understand important developments quickly. It’s a useful resource for anyone interested in AI and image creation.