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University of Toronto
- Toronto
- https://www.cs.toronto.edu/~zeyang/
Stars
[CVPR2024] NeuRAD: Neural Rendering for Autonomous Driving
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
Blender addon to inspect and preprocess COLMAP data for Neuralangelo (CVPR 2023)
Posters for all 235 cvpr2023 highlight papers
A toolbox for mapping and localization with line features.
Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field Inversion
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Code for the paper "TAVA Template-free Animatable Volumetric Actors".
A Unified Framework for Surface Reconstruction
Neural Surface reconstruction based on Instant-NGP. Efficient and customizable boilerplate for your research projects. Train NeuS in 10min!
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
A collaboration friendly studio for NeRFs
A General NeRF Acceleration Toolbox in PyTorch.
Official code release for VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
Code for PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Relighting and Material Editing
Visualizes meshes, pointclouds and video flythroughs in publication quality
[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields
CSC 2541 Project to Find Smaller Datasets for Hyperparameter Tuning