5 papers
From Understanding to Erasing: Towards Complete and Stable Video Object Removal
Dingming Liu, Wenjing Wang, Chen Li +2
Video object removal aims to erase target objects while reconstructing visually plausible and temporally coherent content. However, target objects often induce shadows, reflections…
SECURE: Stable Early Collision Understanding via Robust Embeddings in Autonomous Driving
Wenjing Wang, Wenxuan Wang, Songning Lai
While deep learning has significantly advanced accident anticipation, the robustness of these safety-critical systems against real-world perturbations remains a major challenge. We…
Identity as Presence: Towards Appearance and Voice Personalized Joint Audio-Video Generation
Qin Chen, Yingjie Chen, Shilun Lin +9
Recent advances in video synthesis have enabled realistic integration of real individuals, driving demand for identity-aware generation. While emerging methods support joint appear…
Stand-In: A Lightweight and Plug-and-Play Identity Control for Video Generation
Bowen Xue, Zheng-Peng Duan, Qixin Yan +6
Generating high-fidelity human videos that match user-specified identities is important yet challenging in the field of generative AI. Existing methods often rely on an excessive n…
Video Generation with Stable Transparency via Shiftable RGB-A Distribution Learner
Haotian Dong, Wenjing Wang, Chen Li +2
Generating RGB-A videos, which include alpha channels for transparency, has wide applications. However, current methods often suffer from low quality due to confusion between RGB a…