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Zuxuan Wu*

3 accepted papers

2024

MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and Editing

ECCV 2024poster

"The diffusion model is widely leveraged for either video generation or video editing. As each field has its task-specific problems, it is difficult to merely develop a single diffusion for completing both tasks simultaneously. Video diffusion sorely relying on the text prompt can be adapted to unif…

2024

PromptFusion: Decoupling Stability and Plasticity for Continual Learning

ECCV 2024poster

"Current research on continual learning mainly focuses on relieving catastrophic forgetting, and most of their success is at the cost of limiting the performance of newly incoming tasks. Such a trade-off is referred to as the stability-plasticity dilemma and is a more general and challenging problem…

2024

SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation

ECCV 2024poster

"In-context segmentation aims at segmenting novel images using a few labeled example images, termed as “in-context examples”, exploring content similarities between examples and the target. The resulting models can be generalized seamlessly to novel segmentation tasks, significantly reducing the lab…