DEVECLOVER

Book-Mathematical-Foundation-of-Reinforcement-Learning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

nannyml

nannyml: post-deployment data science in python

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

multi-resolution-texture-synthesis

Based on “Fast Texture Synthesis using Tree-structured Vector Quantization” and “Multiresolution Sampling Procedure for Analysis and Synthesis of Texture Images” papers

Uni-MS-PS

stitching

A Python package for fast and robust Image Stitching

huaweimind

华为任正非**之路，Huawei Renzhengfei speech,email& article,整理自1994年开始的讲话稿，涉及财经、人力资源、战略、内控与公共关系，从交换机、通讯设备、移动终端到人工智能、物联网，从2G、3G到4G、5G，从物理学、化学、数学到心理学、哲学，是创业，学习的标杆素材。

surfalize

A python module to analyze surface roughness and periodic texture parameters

Surface_Roughness_Analysis

This code takes the roughness of a surface, finds its power spectral density, and fits a power law to its PSD data.

SurfaceTopography

Read and analyze surface topographies

bcs

Bayesian Compressive Sensing and Multi-task Compressive Sensing

spgl1

A solver for large-scale sparse least squares

CVPR2023-DANI-Net

Official Implementation of "DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering", CVPR2023

self-llm

《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合**宝宝的部署教程

ECON

[CVPR'23, Highlight] ECON: Explicit Clothed humans Optimized via Normal integration

photometric_feature_transformer

The official implementation of the paper Learning Efficient Photometric Feature Transform for Multi-view Stereo.

umich-eecs545-lectures

This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.

SHIQ

Project for CVPR21 paper: "A Multi-Task Network for Joint Specular Highlight Detection and Removal".

MTF_Estimator

Robust ESF, PSF, FWHM & MTF estimation from low quality images.

Survey-DLCPS

Project for Deep Learning Methods for Calibrated Photometric Stereo and Beyond: A Survey

Facial_Details_Synthesis

[ICCV2019 Oral] Photo-Realistic Facial Details Synthesis from Single Image

RNb-NeuS

RNb-NeuS: Reflectance and Normal-based Multi-view 3D Reconstruction.

iga-integration

Gradient field integration with isogeometric analysis

ps_shadow_extract

extract shadows from photometric stereo images

neuralps3d

Neural Reflectance Field from Shading and Shadow under a Fixed Viewpoint

Photometric-Stereo

Term project. A python implementation of the Basic Photometric Stereo Algorithm

mvas

[CVPR 2023] Multi-View Azimuth Stereo via Tangent Space Consistency

GaussianEditor

[CVPR 2024] GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting

sythetic

render a ball using Python

NeuralMPS