SAPIEN Manipulation Skill Framework, a GPU parallelized robotics simulator and benchmark
Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion
WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!
diffCheck is a CAD-integrated tool for evaluating digital timber fabrication processes.
Transforming 2D images into 3D semantically segmented scenes using innovative CNN architecture and COLMAP reconstruction.
Stay upto date with recent papers in the field!
[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
[CVPR 2024] G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping
[CVPR 2024] Physical Property Understanding from Language-Embedded Feature Fields
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection as a project work in Machine Learning for 3D Geometry
PyTorch implementation of DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration (BMVC 2021)
Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization
Study of Visual Odometry and Structure from Motion (SFM) problem
Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"
3D computer vision library in Julia
PyTorch code to implement a gradient magnitude based edge detection loss.
This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).
This repository contains my paper reviews, solutions and code submissions for projects completed as part of CMSC848F during Fall 2023. Each project is organized in its own folder, with accompanying documentation and any necessary resources.
Some projects are modified from Chu-Song Chen's class of 3D Computer Vision with Deep Learning Applications at National Taiwan University.
[IEEE TGRS] SphereNet: Learning a Noise-Robust and General Descriptor for Point Cloud Registration
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