5 papers · 1 filter
Benchmarking Single-Factor Physical Video-to-Audio Generation
Tingle Li, Siddharth Gururani, Kevin J. Shih +6
Generative video-to-audio (V2A) models produce highly plausible soundtracks, but it remains unclear whether they capture the underlying physical processes. Existing evaluations emp…
Plenoptic Video Generation
Xiao Fu, Shitao Tang, Min Shi +5
Camera-controlled generative video re-rendering methods, such as ReCamMaster, have achieved remarkable progress. However, despite their success in single-view setting, these works…
MFM-point: Multi-scale Flow Matching for Point Cloud Generation
Petr Molodyk, Jaemoo Choi, David W. Romero +2
In recent years, point cloud generation has gained significant attention in 3D generative modeling. Among existing approaches, point-based methods directly generate point clouds wi…
MambaVideo for Discrete Video Tokenization with Channel-Split Quantization
Dawit Mureja Argaw, Xian Liu, Joon Son Chung +2
Discrete video tokenization is essential for efficient autoregressive generative modeling due to the high dimensionality of video data. This work introduces a state-of-the-art disc…
"PhyWorldBench": A Comprehensive Evaluation of Physical Realism in Text-to-Video Models
Jing Gu, Xian Liu, Yu Zeng +8
Video generation models have achieved remarkable progress in creating high-quality, photorealistic content. However, their ability to accurately simulate physical phenomena remains…