UniMC uses tokenized instance conditions (class, box, keypoints) and a timestep-aware modulator in a DiT backbone to control multi-class human and animal image generation, trained and evaluated on the new HAIG-2.9M dataset.
Orange kittenwith bright blue eyes on rocky ground
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UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation
UniMC uses tokenized instance conditions (class, box, keypoints) and a timestep-aware modulator in a DiT backbone to control multi-class human and animal image generation, trained and evaluated on the new HAIG-2.9M dataset.