4 citations · 4 across the 4 of their papers we have counts for
4 papers
On-Policy Self-Distillation in Diffusion Models
Wei Zhou, Xiongwei Zhu, Lingdong Kong +14
Reinforcement learning can align diffusion models with human preferences and task-specific objectives, but endpoint rewards do not specify how an intermediate denoising prediction…
DanceOPD: On-Policy Generative Field Distillation
Wei Zhou, Xiongwei Zhu, Zelin Xu +8
Modern image generation demands a single model that unifies diverse capabilities, including text-to-image (T2I), local editing, and global editing. However, these capabilities are…
Decouple Content and Motion for Conditional Image-to-Video Generation
Cuifeng Shen, Yulu Gan, Chen Chen +4
The goal of conditional image-to-video (cI2V) generation is to create a believable new video by beginning with the condition, i.e., one image and text.The previous cI2V generation…
ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval
Mengjun Cheng, Yipeng Sun, Longchao Wang +8
Visual appearance is considered to be the most important cue to understand images for cross-modal retrieval, while sometimes the scene text appearing in images can provide valuable…