3 papers
cs.CV2022
MonoNHR: Monocular Neural Human Renderer
Hongsuk Choi, Gyeongsik Moon, Matthieu Armando +3
Existing neural human rendering methods struggle with a single image input due to the lack of information in invisible areas and the depth ambiguity of pixels in visible areas. In…
cs.CV2020
SMPLy Benchmarking 3D Human Pose Estimation in the Wild
Vincent Leroy, Philippe Weinzaepfel, Romain Brégier +2
Predicting 3D human pose from images has seen great recent improvements. Novel approaches that can even predict both pose and shape from a single input image have been introduced,…
cs.CV2020
DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild
Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier +2
We introduce DOPE, the first method to detect and estimate whole-body 3D human poses, including bodies, hands and faces, in the wild. Achieving this level of details is key for a n…