Adobe research papers
A company publishing mostly on multimodal and robotics, best known here for MotionStream.9 papers · 146 citations · latest Nov 2026
MoviEdit: Long-form Multi-Shot Video Editing Made EasyMoviEdit is a framework and benchmark for editing long videos across multiple camera shots and changing scenes.
Adobe75 upvotesRead →Designer-RSI: Evolving Procedural Memory from User Traffic for Agentic Graphic DesignDesigner-RSI improves agentic graphic design by continually refining a procedural memory of skills based on user traffic and execution feedback.
Adobe1 citations34 upvotesRead →Beyond Starry Night: Shortcut-Aware Control-State Planning for Artist-Grounded Text to Image GenerationAtelier improves artist-grounded image generation by translating vague artistic intent into explicit control states that separate scene content from style, reducing reliance on stereotypical shortcuts.
Adobe1 citations28 upvotesRead →LoST: Level of Semantics Tokenization for 3D ShapesLevel-of-Semantics Tokenization (LoST) improves 3D shape generation by ordering tokens based on semantic salience and using a novel relational alignment loss for better reconstruction and efficiency.
Adobe4 citations32 upvotesRead →WorldCam: Interactive Autoregressive 3D Gaming Worlds with Camera Pose as a Unifying Geometric RepresentationVideo diffusion transformers enhanced with camera pose representation enable precise action control and long-term 3D consistency in interactive gaming environments through physics-based action spaces and geometric grounding.
Adobe14 citations61 upvotesRead →Memory-V2V: Augmenting Video-to-Video Diffusion Models with MemoryMemory-V2V enhances multi-turn video editing by maintaining cross-consistency through explicit memory mechanisms and efficient token compression in video-to-video diffusion models.
Adobe3 citations28 upvotesRead →Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and EditingLatent diffusion models using representation encoder features face challenges in semantic compactness and pixel-level reconstruction, which are addressed through a semantic-pixel reconstruction objective that enables compact yet semantically rich representations for unified text-to-image and image editing tasks.
Adobe28 citations37 upvotesRead →V-RGBX: Video Editing with Accurate Controls over Intrinsic PropertiesV-RGBX presents an end-to-end framework for intrinsic-aware video editing that combines video inverse rendering, photorealistic video synthesis, and keyframe-based editing with physically grounded intrinsic channel manipulation.
Adobe7 citations30 upvotesRead →MotionStream: Real-Time Video Generation with Interactive Motion ControlsMotionStream enables real-time video generation with sub-second latency and up to 29 FPS by distilling a text-to-video model with motion control into a causal student using Self Forcing with Distribution Matching Distillation and sliding-window causal attention with attention sinks.
Adobe88 citations33 upvotesRead →