2 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
MoManifold: Learning to Measure 3D Human Motion via Decoupled Joint Acceleration Manifolds
Ziqiang Dang, Tianxing Fan, Boming Zhao +4
Incorporating temporal information effectively is important for accurate 3D human motion estimation and generation which have wide applications from human-computer interaction to A…
SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field
Chong Bao, Yinda Zhang, Bangbang Yang +5
Despite the great success in 2D editing using user-friendly tools, such as Photoshop, semantic strokes, or even text prompts, similar capabilities in 3D areas are still limited, ei…
CompNVS: Novel View Synthesis with Scene Completion
Zuoyue Li, Tianxing Fan, Zhenqiang Li +4
We introduce a scalable framework for novel view synthesis from RGB-D images with largely incomplete scene coverage. While generative neural approaches have demonstrated spectacula…
LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies
Sandro Lombardi, Bangbang Yang, Tianxing Fan +4
3D representation and reconstruction of human bodies have been studied for a long time in computer vision. Traditional methods rely mostly on parametric statistical linear models,…