Adobe’s DL-Based ‘HDMatt’ Handles Image Details Thinner Than Hair
UIUC, Adobe Research and University of Oregon propose HDMatt, a Deep Learning-based image matting Cross-Patch Context module for high-resolution image inputs.
Tag: Adobe
Adobe and Stanford Unveil SOTA Method for Human Pose Estimation
The researchers say the approach produces motions that are visually and physically much more plausible than state-of-the-art methods.
Researchers Propose ‘Neuro-Symbolic’ Approach for Generative Art
Researchers propose a neuro-symbolic hybrid approach to address the challenge of creativity in generative art.
Smooth Exclusion: New Adobe Algorithm Aces Video Inpainting
Purging your favourite photos or videos of an unsightly trash pile, a parked car or even an ex-partner has never been easier, thanks to the rapid progress of AI models designed for such tasks.
New AI Technique Builds Dynamic Images From a Single Photo
A new Adobe-developed AI tool significantly lowers the threshold for producing dynamic images with a framework that synthesizes a “3D Ken Burns effect” from a single image.
MIT & Adobe Introduce Real Time AR Tool for Storytelling
Researchers from MIT Media Lab and Adobe Research recently introduced a real-time interactive augmented video system that enables presenters to use their bodies as storytelling tools by linking gestures to illustrative virtual graphic elements.
Week of Open Source: Google AI, Facebook and Stanford
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