most citedLanguage Adaptive Weight Generation for Multi-task Visual Grounding

3 citations · 9 across the 5 of their papers we have counts for

collaborators

12 papers

cs.CV2024

ChatDiT: A Training-Free Baseline for Task-Agnostic Free-Form Chatting with Diffusion Transformers

Lianghua Huang, Wei Wang, Zhi-Fan Wu +7

Recent research arXiv:2410.15027 arXiv:2410.23775 has highlighted the inherent in-context generation capabilities of pretrained diffusion transformers (DiTs), enabling them to seam…

cs.CV2024

IDEA-Bench: How Far are Generative Models from Professional Designing?

Chen Liang, Lianghua Huang, Jingwu Fang +7

Real-world design tasks - such as picture book creation, film storyboard development using character sets, photo retouching, visual effects, and font transfer - are highly diverse…

cs.CV20241 cited

In-Context LoRA for Diffusion Transformers

Lianghua Huang, Wei Wang, Zhi-Fan Wu +6

Recent research arXiv:2410.15027 has explored the use of diffusion transformers (DiTs) for task-agnostic image generation by simply concatenating attention tokens across images. Ho…

cs.CV2024

CLASH: Complementary Learning with Neural Architecture Search for Gait Recognition

Huanzhang Dou, Pengyi Zhang, Yuhan Zhao +2

Gait recognition, which aims at identifying individuals by their walking patterns, has achieved great success based on silhouette. The binary silhouette sequence encodes the walkin…

cs.CV2024

GVDIFF: Grounded Text-to-Video Generation with Diffusion Models

Huanzhang Dou, Ruixiang Li, Wei Su +1

In text-to-video (T2V) generation, significant attention has been directed toward its development, yet unifying discrete and continuous grounding conditions in T2V generation remai…

cs.CV2024

ScanFormer: Referring Expression Comprehension by Iteratively Scanning

Wei Su, Peihan Miao, Huanzhang Dou +1

Referring Expression Comprehension (REC) aims to localize the target objects specified by free-form natural language descriptions in images. While state-of-the-art methods achieve…