6 papers
Benchmarking Efficient & Effective Camera Pose Estimation Strategies for Novel View Synthesis
Jhacson Meza, Martin R. Oswald, Torsten Sattler
Novel view synthesis (NVS) approaches such as NeRFs or 3DGS can produce photo-realistic 3D scene representation from a set of images with known extrinsic and intrinsic parameters.…
From Rays to Projections: Better Inputs for Feed-Forward View Synthesis
Zirui Wu, Zeren Jiang, Martin R. Oswald +1
Feed-forward view synthesis models predict a novel view in a single pass with minimal 3D inductive bias. Existing works encode cameras as Plücker ray maps, which tie predictions t…
Physics-based Human Pose Estimation from a Single Moving RGB Camera
Ayce Idil Aytekin, Chuqiao Li, Diogo Luvizon +4
Most monocular and physics-based human pose tracking methods, while achieving state-of-the-art results, suffer from artifacts when the scene does not have a strictly flat ground pl…
ODHSR: Online Dense 3D Reconstruction of Humans and Scenes from Monocular Videos
Zetong Zhang, Manuel Kaufmann, Lixin Xue +2
Creating a photorealistic scene and human reconstruction from a single monocular in-the-wild video figures prominently in the perception of a human-centric 3D world. Recent neural…
3D Gaussian Inverse Rendering with Approximated Global Illumination
Zirui Wu, Jianteng Chen, Laijian Li +5
3D Gaussian Splatting shows great potential in reconstructing photo-realistic 3D scenes. However, these methods typically bake illumination into their representations, limiting the…
WorldPose: A World Cup Dataset for Global 3D Human Pose Estimation
Tianjian Jiang, Johsan Billingham, Sebastian Müksch +7
We present WorldPose, a novel dataset for advancing research in multi-person global pose estimation in the wild, featuring footage from the 2022 FIFA World Cup. While previous data…