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Research questionHow can diffusion-transformer generators follow spatial controls without large task-specific adapters?A generator may need to satisfy spatial or motion constraints while retaining general-purpose image or video synthesis. Separate adapters for each control can increase storage and adaptation costs and reduce reuse across tasks.
AI
Computer Vision
Diffusion Models
Image Generation
Machine Learning
Video Generation
Latest papersRecent research connected to this question, newest first.ReaDiT Guidance: Control for Image and Video Generation using Diffusion Transformer FeaturesThe paper uses features from a single DiT block to guide image and video generation at inference and evaluates multiple spatial and motion control settings. Evidence is limited to DiT-based generators and the studied controls; behavior with other backbones or control regimes is not established.research paper · Sep 4, 2026
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