Hao Tang* — accepted AI-conference papers

2024

InstructGIE: Towards Generalizable Image Editing

Zichong Meng, Changdi Yang, Jun Liu, Hao Tang*, Pu Zhao*, Yanzhi Wang*

ECCV 2024poster

"Recent advances in image editing have been driven by the development of denoising diffusion models, marking a significant leap forward in this field. Despite these advances, the generalization capabilities of recent image editing approaches remain constrained. In response to this challenge, our stu…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗

2024

Motion Mamba: Efficient and Long Sequence Motion Generation

Zeyu Zhang, Akide Liu, Ian Reid, RICHARD HARTLEY, Bohan Zhuang, Hao Tang*

ECCV 2024poster

"Human motion generation stands as a significant pursuit in generative computer vision, while achieving long-sequence and efficient motion generation remains challenging. Recent advancements in state space models (SSMs), notably Mamba, have showcased considerable promise in long sequence modeling wi…

Cited by 84 Source ↗PDF ↗code ↗Scholar ↗