Screnary Wang's Projects
Final project for Data-Visualization(DATA130012) in Fudan University.
A resource repository for 3D machine learning
my algorithm exercises using python
Open source code for AlphaFold.
ffmpeg shell
using blender and python to render 3D Shapes from ShapeNet
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".
A project website of Direct Intrinsics
using Cesium + Vue to learn digital earth
Free Form Deformation Sederberg's technique F
using opengl to render 3D meshes, using python + pyopengl
Google Research-SNERG
my first git project!
PyTorch implementation of "InstaGAN: Instance-aware Image Translation" (ICLR 2019)
Matlab code for data refinement of the MPI data for intrinsic decomposition.
Implementation codes of CVPR 2018 Oral paper "Revisiting Deep Intrinsic Image Decompositions"
Lucid library adapted for PyTorch
A collection of infrastructure and tools for research in neural network interpretability.
Convert 3D mesh model to point clouds using Virtual Scanner and Furthest Point Sampling.
ModelScope: bring the notion of Model-as-a-Service to life.
Professor X Toolkit (previously known as the Princeton Vision and Robotics Toolkit)
Auto Segmentation GUI using PyQT/PySide2
analysis dataset for fine-grained classification
Single Image Intrinsic Decomposition with Discriminative Feature Encoding
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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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.
Code for paper "Learning Free-Form Deformations for 3D Object Reconstruction"