No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves Paper • 2505.02831 • Published May 5 • 1
Distribution Matching Distillation Meets Reinforcement Learning Paper • 2511.13649 • Published 21 days ago • 2
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Paper • 2511.22699 • Published 11 days ago • 160
No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves Paper • 2505.02831 • Published May 5 • 1
Deforming Videos to Masks: Flow Matching for Referring Video Segmentation Paper • 2510.06139 • Published Oct 7 • 2
Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding Paper • 2510.06308 • Published Oct 7 • 53
EVTAR: End-to-End Try on with Additional Unpaired Visual Reference Paper • 2511.00956 • Published Nov 2 • 4
Distribution Matching Distillation Meets Reinforcement Learning Paper • 2511.13649 • Published 21 days ago • 2
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Paper • 2511.22699 • Published 11 days ago • 160