26 citations · 26 across the 6 of their papers we have counts for
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cs.CV2025
How Much 3D Do Video Foundation Models Encode?
Zixuan Huang, Xiang Li, Zhaoyang Lv +1
Videos are continuous 2D projections of 3D worlds. After training on large video data, will global 3D understanding naturally emerge? We study this by quantifying the 3D understand…
cs.CV2025
Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation
Xiang Li, Zirui Wang, Zixuan Huang +1
Humans and traditional computer vision methods rely on a diverse set of monocular cues to infer 3D structure from a single image, such as shading, texture, silhouette, etc. While r…
cs.CV2025
Unified Text-Image-to-Video Generation: A Training-Free Approach to Flexible Visual Conditioning
Bolin Lai, Sangmin Lee, Xu Cao +2
Text-image-to-video (TI2V) generation is a critical problem for controllable video generation using both semantic and visual conditions. Most existing methods typically add visual…