3 papers
cs.CV2026
One View Is Enough! Monocular Training for In-the-Wild Novel View Generation
Adrien Ramanana Rahary, Nicolas Dufour, Patrick Perez +1
Monocular novel-view synthesis has long required multi-view image pairs for supervision, limiting training data scale and diversity. We argue it is not necessary: one view is enoug…
cs.CV2025
3D Human Pose and Shape Estimation from LiDAR Point Clouds: A Review
Salma Galaaoui, Eduardo Valle, David Picard +1
In this paper, we present a comprehensive review of 3D human pose estimation and human mesh recovery from in-the-wild LiDAR point clouds. We compare existing approaches across seve…
cs.CV2025
PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation
Nermin Samet, Cédric Rommel, David Picard +1
We introduce a novel approach for 3D whole-body pose estimation, addressing the challenge of scale -- and deformability -- variance across body parts brought by the challenge of ex…