3 citations · 5 across the 11 of their papers we have counts for
13 papers
OmniVBench: A Benchmark and Large-Scale Dataset for Omni Reference-to-Video Generation
Wenxue Li, Peiyan Guan, Haoyang Jiang +15
Omni reference-to-video (R2V) generation is emerging as a general paradigm that enables flexible video customization from diverse and compositional visual references. However, exis…
OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing
Chenxuan Miao, Yutong Feng, Yi Lu +6
Instruction-based video editing (IVE) is an emerging field with broad applications, yet evaluating editing models remains challenging. Existing benchmarks suffer from two major lim…
CoinVE-200K: A Large-Scale High-Quality Dataset for Compositional Instruction-Guided Video Editing
Fuchen Long, Cong Wang, Zitao Gao +8
The quality and diversity of instruction-based video editing datasets are steadily improving, yet existing datasets mainly focus on single editing operations and fall short in supp…
GDRO: Group-level Reward Post-training Suitable for Diffusion Models
Yiyang Wang, Xi Chen, Xiaogang Xu +2
Recent advancements adopt online reinforcement learning (RL) from LLMs to text-to-image rectified flow diffusion models for reward alignment. The use of group-level rewards success…
DiffCamera: Arbitrary Refocusing on Images
Yiyang Wang, Xi Chen, Xiaogang Xu +2
The depth-of-field (DoF) effect, which introduces aesthetically pleasing blur, enhances photographic quality but is fixed and difficult to modify once the image has been created. T…
MiCo: Multi-image Contrast for Reinforcement Visual Reasoning
Xi Chen, Mingkang Zhu, Shaoteng Liu +5
This work explores enabling Chain-of-Thought (CoT) reasoning to link visual cues across multiple images. A straightforward solution is to adapt rule-based reinforcement learning fo…
DiffDoctor: Diagnosing Image Diffusion Models Before Treating
Yiyang Wang, Xi Chen, Xiaogang Xu +4
In spite of recent progress, image diffusion models still produce artifacts. A common solution is to leverage the feedback provided by quality assessment systems or human annotator…
Zero-shot Image Editing with Reference Imitation
Xi Chen, Yutong Feng, Mengting Chen +5
Image editing serves as a practical yet challenging task considering the diverse demands from users, where one of the hardest parts is to precisely describe how the edited image sh…
FlashFace: Human Image Personalization with High-fidelity Identity Preservation
Shilong Zhang, Lianghua Huang, Xi Chen +7
This work presents FlashFace, a practical tool with which users can easily personalize their own photos on the fly by providing one or a few reference face images and a text prompt…
LivePhoto: Real Image Animation with Text-guided Motion Control
Xi Chen, Zhiheng Liu, Mengting Chen +4
Despite the recent progress in text-to-video generation, existing studies usually overlook the issue that only spatial contents but not temporal motions in synthesized videos are u…
Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following
Yutong Feng, Biao Gong, Di Chen +3
Existing text-to-image (T2I) diffusion models usually struggle in interpreting complex prompts, especially those with quantity, object-attribute binding, and multi-subject descript…
Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation
Siteng Huang, Biao Gong, Yutong Feng +4
This study focuses on a novel task in text-to-image (T2I) generation, namely action customization. The objective of this task is to learn the co-existing action from limited data a…
Check, Locate, Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation
Biao Gong, Siteng Huang, Yutong Feng +3
Diffusion models have recently achieved remarkable progress in generating realistic images. However, challenges remain in accurately understanding and synthesizing the layout requi…