Some projects are modified from Chu-Song Chen's class of 3D Computer Vision with Deep Learning Applications at National Taiwan University.
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Updated
Jan 5, 2024 - Python
Some projects are modified from Chu-Song Chen's class of 3D Computer Vision with Deep Learning Applications at National Taiwan University.
Transforming 2D images into 3D semantically segmented scenes using innovative CNN architecture and COLMAP reconstruction.
Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion
CS231A_F-Matrix_Image-Rectificaiton (A2)
This repository contains reimplementation of existing neural renderer based 2D-to-3D mesh editing and texture mapping approach using the latest libraries like Pytorch etc.
P1. Extracting 3D scene as a point cloud from N 2D images and fusing them into a single point cloud. P2. Normal Mapping.
PyTorch code to implement a gradient magnitude based edge detection loss.
Official implementation for the ECCV 2022 work MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud
Single Image to 3D reconstruction
[BMVC 2023 (Oral)] Score-PA: Score-based 3D Part Assembly
CS231A_Image-Processing_SVD (A0)
CS231A_Representation-Learning_Monocular-Depth-Estimation (A3)
CS231A_Projective_Geometry_Affine_Camera_Callibration (A1)
Real-time 3D cube generator for Aruco Markers using OpenCV
[CVPR 2024] G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping
Stay upto date with recent papers in the field!
Submissions for each practical work done in the context of the NPM3D course of the MVA.
Pseudo-3D CNN networks in PyTorch.
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