3 papers
cs.CV2026
MAC: A Benchmark for Multiple Attributes Compositional Zero-Shot Learning
Shuo Xu, Sai Wang, Xinyue Hu +3
Compositional Zero-Shot Learning (CZSL) aims to learn semantic primitives (attributes and objects) from seen compositions and recognize unseen attribute-object compositions. Existi…
cs.CV2025
IS-Diff: Improving Diffusion-Based Inpainting with Better Initial Seed
Yongzhe Lyu, Yu Wu, Yutian Lin +1
Diffusion models have shown promising results in free-form inpainting. Recent studies based on refined diffusion samplers or novel architectural designs led to realistic results an…
cs.CV2025
Spotlighting Partially Visible Cinematic Language for Video-to-Audio Generation via Self-distillation
Feizhen Huang, Yu Wu, Yutian Lin +1
Video-to-Audio (V2A) Generation achieves significant progress and plays a crucial role in film and video post-production. However, current methods overlook the cinematic language,…