collaborators

8 papers

math.DS2026

Tame Topological Groups are precompact

Eli Glasner

We prove that a Hausdorff topological group is tame if and only if it is precompact.

cs.CV2026

Self-transcendence: Is External Feature Guidance Indispensable for Accelerating Diffusion Transformer Training?

Lingchen Sun, Rongyuan Wu, Zhengqiang Zhang +4

Recent works such as REPA have shown that guiding diffusion models with external semantic features (e.g., DINO) can significantly accelerate the training of diffusion transformers…

cs.CV2026

Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis

Tianhe Wu, Ruibin Li, Lei Zhang +1

Distribution matching distillation (DMD) facilitates few-step image generation by aligning a distilled student with a reference multi-step teacher. In practice, however, optimizing…

cs.CV2026

CoCoEdit: Content-Consistent Image Editing via Region Regularized Reinforcement Learning

Yuhui Wu, Chenxi Xie, Ruibin Li +3

Image editing has achieved impressive results with the development of large-scale generative models. However, existing models mainly focus on the editing effects of intended object…

cs.CV2026

Long-Horizon Streaming Video Generation via Hybrid Attention with Decoupled Distillation

Ruibin Li, Tao Yang, Fangzhou Ai +4

Streaming video generation (SVG) distills a pretrained bidirectional video diffusion model into an autoregressive model equipped with sliding window attention (SWA). However, SWA i…

cs.CV2026

Many-for-Many: Unify the Training of Multiple Video and Image Generation and Manipulation Tasks

Ruibin Li, Tao Yang, Yangming Shi +4

Diffusion models have shown impressive performance in many visual generation and manipulation tasks. Many existing methods focus on training a model for a specific task, especially…