4 papers
EdgeSAM: Prompt-In-the-Loop Distillation for SAM
Chong Zhou, Xiangtai Li, Chen Change Loy +1
This paper presents EdgeSAM, an accelerated variant of the Segment Anything Model (SAM), optimized for efficient execution on edge devices with minimal compromise in performance. O…
GausSim: Foreseeing Reality by Gaussian Simulator for Elastic Objects
Yidi Shao, Mu Huang, Chen Change Loy +1
We introduce GausSim, a novel neural network-based simulator designed to capture the dynamic behaviors of real-world elastic objects represented through Gaussian kernels. We levera…
EdgeTAM: On-Device Track Anything Model
Chong Zhou, Chenchen Zhu, Yunyang Xiong +8
On top of Segment Anything Model (SAM), SAM 2 further extends its capability from image to video inputs through a memory bank mechanism and obtains a remarkable performance compare…
Learning 3D Garment Animation from Trajectories of A Piece of Cloth
Yidi Shao, Chen Change Loy, Bo Dai
Garment animation is ubiquitous in various applications, such as virtual reality, gaming, and film producing. Recently, learning-based approaches obtain compelling performance in a…