13 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 13 cited
Learning Disentangled Avatars with Hybrid 3D Representations
Yao Feng, Weiyang Liu, Timo Bolkart +3
Tremendous efforts have been made to learn animatable and photorealistic human avatars. Towards this end, both explicit and implicit 3D representations are heavily studied for a ho…
cs.CV2023
Instant Multi-View Head Capture through Learnable Registration
Timo Bolkart, Tianye Li, Michael J. Black
Existing methods for capturing datasets of 3D heads in dense semantic correspondence are slow, and commonly address the problem in two separate steps; multi-view stereo (MVS) recon…
cs.CV2021
Topologically Consistent Multi-View Face Inference Using Volumetric Sampling
Tianye Li, Shichen Liu, Timo Bolkart +3
High-fidelity face digitization solutions often combine multi-view stereo (MVS) techniques for 3D reconstruction and a non-rigid registration step to establish dense correspondence…