From the 1 of 6 linked papers with an AI index.
6 papers
Wonder: Video World Model Done Better
Jiacong Xu, Hanwen Jiang, Zhixin Shu +3
Wonder is a video world model that lets users explore a generated scene in real time by moving a virtual camera, using a dense coordinate conditioning and a sparse attention memory…
InstantHDR: Single-forward Gaussian Splatting for High Dynamic Range 3D Reconstruction
Dingqiang Ye, Jiacong Xu, Jianglu Ping +3
High dynamic range (HDR) novel view synthesis (NVS) aims to reconstruct HDR scenes from multi-exposure low dynamic range (LDR) images. Existing HDR pipelines heavily rely on known…
Endless World: Real-Time 3D-Aware Long Video Generation
Ke Zhang, Yiqun Mei, Jiacong Xu +1
Producing long, coherent video sequences with stable 3D structure remains a major challenge, particularly in streaming scenarios. Motivated by this, we introduce Endless World, a r…
Think Before You Diffuse: Infusing Physical Rules into Video Diffusion
Ke Zhang, Cihan Xiao, Jiacong Xu +2
Recent video diffusion models have demonstrated their great capability in generating visually-pleasing results, while synthesizing the correct physical effects in generated videos…
FreeViS: Training-free Video Stylization with Inconsistent References
Jiacong Xu, Yiqun Mei, Ke Zhang +1
Video stylization plays a key role in content creation, but it remains a challenging problem. Naïvely applying image stylization frame-by-frame hurts temporal consistency and redu…
Lux Post Facto: Learning Portrait Performance Relighting with Conditional Video Diffusion and a Hybrid Dataset
Yiqun Mei, Mingming He, Li Ma +9
Video portrait relighting remains challenging because the results need to be both photorealistic and temporally stable. This typically requires a strong model design that can captu…