Search Results for author:
Found 4 papers, 3 papers with code
STAF: 3D Human Mesh Recovery from Video with Spatio-Temporal Alignment Fusion
This method can remarkably improve the smoothness of recovery results from video.
Ranked #46 on
3D Human Pose Estimation
on 3DPW
(using extra training data)
Generating Fine-Grained Human Motions Using ChatGPT-Refined Descriptions
By adopting a divide-and-conquer strategy, we propose a new framework named Fine-Grained Human Motion Diffusion Model (FG-MDM) for human motion generation.
W-HMR: Human Mesh Recovery in World Space with Weak-supervised Camera Calibration and Orientation Correction
We propose a novel orientation correction module to allow the reconstructed human body to remain normal in world space.
Ranked #1 on
3D Human Pose Estimation
on SPEC-MTP
(using extra training data)
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment
To address this challenging task, we propose a two-stage background suppression and foreground alignment framework, which is composed of a background activation suppression (BAS) module, a foreground object alignment (FOA) module, and a local-to-local (L2L) similarity metric.
