Search Results for author:
Found 6 papers, 4 papers with code
EgoPoser: Robust Real-Time Ego-Body Pose Estimation in Large Scenes
Full-body ego-pose estimation from head and hand poses alone has become an active area of research to power articulate avatar representation on headset-based platforms.
Restore Anything Pipeline: Segment Anything Meets Image Restoration
In this paper, we introduce the Restore Anything Pipeline (RAP), a novel interactive and per-object level image restoration approach that incorporates a controllable model to generate different results that users may choose from.
AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing
In this paper, we present AvatarPoser, the first learning-based method that predicts full-body poses in world coordinates using only motion input from the user's head and hands.
Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction
To the best of our knowledge, the proposed method is the first to mine 3D semantic consistent keypoints from a mutual reconstruction view.
Towards Flexible Blind JPEG Artifacts Removal
Training a single deep blind model to handle different quality factors for JPEG image artifacts removal has been attracting considerable attention due to its convenience for practical usage.
Ranked #1 on
JPEG Artifact Correction
on LIVE1 (Quality 30 Color)
A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU
In this paper, we present a multimodal mobile teleoperation system that consists of a novel vision-based hand pose regression network (Transteleop) and an IMU-based arm tracking method.
