Search Results for author:
Found 4 papers, 3 papers with code
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields
FPRF efficiently stylizes large-scale 3D scenes by introducing a style-decomposed 3D neural radiance field, which inherits AdaIN's feed-forward stylization machinery, supporting arbitrary style reference images.
ParamISP: Learned Forward and Inverse ISPs using Camera Parameters
RAW images are rarely shared mainly due to its excessive data size compared to their sRGB counterparts obtained by camera ISPs.
Human Pose Estimation in Extremely Low-Light Conditions
We study human pose estimation in extremely low-light images.
Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement
To tackle the challenges, we propose a coarse-to-fine pipeline that benefits from 1) inverse kinematics from the occlusion-robust 3D skeleton estimation and 2) Transformer-based relation-aware refinement techniques.
Ranked #1 on
3D Multi-Person Pose Estimation
on MuPoTS-3D
(using extra training data)
