-
Sun Yat-sen University
- Guangzhou China
-
16:58
(UTC +08:00)
Highlights
- Pro
Block or Report
Block or report AlfredMarcel
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseStars
Language
Sort by: Recently starred
Character textures, models and mods for a certain anime game.
A feature-rich, easy-learning and highly optimized Lua scripting plugin for UE.
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
KawaiiPhysics : Simple fake Physics for UnrealEngine4 & 5
[CVPR2024] Official implementation of SplattingAvatar.
Schematics from Unreal official training at https://learn.unrealengine.com/home/LearningPath/113226
[SIGGRAPH Asia '23] FLARE: Fast Learning of Animatable and Relightable Mesh Avatars
A cheatsheet of modern C++ language and library features.
从零编写游戏引擎教程 Writing a game engine tutorial from scratch
Python opengl-tutorial base on PyOpenGL.
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
Differentiable rasterization applied to 3D model simplification tasks
Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering
An automated algorithm to extract the linear blend skinning (LBS) from a set of example poses
A unity tool to hide certain areas of character meshes and reduce the amount of clipping between clothing layers
[ECCV 2022] The official repo for the paper "UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation".
Code of [ECCV 2022] "AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture"
This repository is the official implementation of DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras.
Implementation of "PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction"
😏国内外计算机的优秀课程,包含MIT、CMU等世界CS名校,🔥🔥其中包含计算机基础学科(操作系统、计算机网络、编译器、数据库、数据结构与算法等)以及人工智能&AI等高级科目,欢迎通过PR形式贡献!
Soft Renderer软渲染器:安卓工程师、iOS工程师、Unity工程师、Unreal工程师、Java工程师、C++工程师、C#工程师可以通过此来快速深刻理解渲染管线