screnary

VoxSegNet

SingleImageIntrinsic

Single Image Intrinsic Decomposition with Discriminative Feature Encoding

IntrinsicDataRefinement

Matlab code for data refinement of the MPI data for intrinsic decomposition.

Shapenet_Class_Analysis

analysis dataset for fine-grained classification

CGIntrinsics

This is the CGIntrinsics implementation described in the paper "CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering, Z. Li and N. Snavely, ECCV 2018".

3D-Free-Form-Deformation

Final project for Data-Visualization(DATA130012) in Fudan University.

Algorithm_python

my algorithm exercises using python

blender_shapenet_render

using blender and python to render 3D Shapes from ShapeNet

GL_learning

using opengl to render 3D meshes, using python + pyopengl

Mesh2Points

Convert 3D mesh model to point clouds using Virtual Scanner and Furthest Point Sampling.

3D-Machine-Learning

A resource repository for 3D machine learning

alphafold

Open source code for AlphaFold.

apng2gif-mac

ffmpeg shell

direct-intrinsics

A project website of Direct Intrinsics

Earth-vue-cesium-with-plugin

Earth_Cesium_Vue

using Cesium + Vue to learn digital earth

FlowErrorViz

Free-Form-Deformation

Free Form Deformation Sederberg's technique F

google-research

Google Research-SNERG

hello-world

my first git project!

instagan

PyTorch implementation of "InstaGAN: Instance-aware Image Translation" (ICLR 2019)

Intrinsic_video_project

IntrinsicImage

Implementation codes of CVPR 2018 Oral paper "Revisiting Deep Intrinsic Image Decompositions"

lucent

Lucid library adapted for PyTorch

lucid

A collection of infrastructure and tools for research in neural network interpretability.

modelscope

ModelScope: bring the notion of Model-as-a-Service to life.

ProfXkit

Professor X Toolkit (previously known as the Princeton Vision and Robotics Toolkit)

Seg3D

Auto Segmentation GUI using PyQT/PySide2

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

template_ffd

Code for paper "Learning Free-Form Deformations for 3D Object Reconstruction"