most citedEvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

FreeCHROMA: Generative Chroma Keying from Unaligned Background References

Jiayi Wu, Tianfu Wang, Rui Zhao +6

In film production, chroma keying composites an approved foreground performance into a new environment, but conventional workflows require coordinated background plates and dedicat…

cs.CV2026

VI-Bench: Benchmarking Prompt Inversion from AIGC Videos

Wulin Xie, Rui Zhao, Kecen Li +5

Recent advances in video generation have made prompt-based control increasingly central to AIGC video generation. Prompts specify what a video should depict and how it should be re…

cs.CV2026

P-Flow: Prompting Visual Effects Generation

Rui Zhao, Mike Zheng Shou

Recent advancements in video generation models have significantly improved their ability to follow text prompts. However, the customization of dynamic visual effects, defined as te…

cs.CV2026

DreamVideo-Omni: Omni-Motion Controlled Multi-Subject Video Customization with Latent Identity Reinforcement Learning

Yujie Wei, Xinyu Liu, Shiwei Zhang +12

While large-scale diffusion models have revolutionized video synthesis, achieving precise control over both multi-subject identity and multi-granularity motion remains a significan…

cs.CV2024★ 1 cited

EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models

Rui Zhao, Hangjie Yuan, Yujie Wei +8

Recent advancements in generation models have showcased remarkable capabilities in generating fantastic content. However, most of them are trained on proprietary high-quality data,…