12 citations · 22 across the 18 of their papers we have counts for
6 papers · 1 filter
Relightable Neural Actor with Intrinsic Decomposition and Pose Control
Diogo Luvizon, Vladislav Golyanik, Adam Kortylewski +2
Creating a controllable and relightable digital avatar from multi-view video with fixed illumination is a very challenging problem since humans are highly articulated, creating pos…
ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering
Haokai Pang, Heming Zhu, Adam Kortylewski +2
Real-time rendering of photorealistic and controllable human avatars stands as a cornerstone in Computer Vision and Graphics. While recent advances in neural implicit rendering hav…
DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields
Yu Chi, Fangneng Zhan, Sibo Wu +2
Progress in 3D computer vision tasks demands a huge amount of data, yet annotating multi-view images with 3D-consistent annotations, or point clouds with part segmentation is both…
AvatarStudio: Text-driven Editing of 3D Dynamic Human Head Avatars
Mohit Mendiratta, Xingang Pan, Mohamed Elgharib +6
Capturing and editing full head performances enables the creation of virtual characters with various applications such as extended reality and media production. The past few years…
General Neural Gauge Fields
Fangneng Zhan, Lingjie Liu, Adam Kortylewski +1
The recent advance of neural fields, such as neural radiance fields, has significantly pushed the boundary of scene representation learning. Aiming to boost the computation efficie…
Scene-Aware 3D Multi-Human Motion Capture from a Single Camera
Diogo Luvizon, Marc Habermann, Vladislav Golyanik +2
In this work, we consider the problem of estimating the 3D position of multiple humans in a scene as well as their body shape and articulation from a single RGB video recorded with…