Sylvia6

3D-Shape-Analysis-Paper-List

A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).

ADOP

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-NeRF

A curated list of awesome neural radiance fields papers

blender-cli-rendering

Python scripts for rendering images using Blender 2.83 from command-line interface

cmake_example

Example pybind11 module built with a CMake-based build system

cycada_release

Code to accompany ICML 2018 paper

DAGAN

[ACM MM 2020] Dual Attention GANs for Semantic Image Synthesis

Deep-Flow-Guided-Video-Inpainting

pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19)

EmerNeRF

PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

LargeScaleNeRFPytorch

1. Weekly classified NeRF literature. 2. Non-official implementation of Block-NeRF and Mega-NeRF in Pytorch. 3. Train your large-scale NeRF in the wild.

librealsense

Intel® RealSense™ SDK

mars

MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving

nerfstudio

A collaboration friendly studio for NeRFs

neural_renderer

A PyTorch port of the Neural 3D Mesh Renderer

NeuralRecon

Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

neuralsim

neuralsim: 3D surface reconstruction and simulation based on 3D neural rendering.

npbg

Neural Point-Based Graphics

nr3d_lib

Modules, operators and utilities for 3D neural rendering in single-object, multi-object, categorical and large-scale scenes.

OccNeRF

Code of "OccNeRF: Self-Supervised Multi-Camera Occupancy Prediction with Neural Radiance Fields".

Panoptic-Neural-Fields

Panoptic Neural Fields A Semantic Object-Aware Neural Scene Representation

puma

Poisson Surface Reconstruction for LiDAR Odometry and Mapping

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

READ-Large-Scale-Neural-Scene-Rendering-for-Autonomous-Driving

implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving"

SelfOcc

SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction

Semantic-Segmentation-PyTorch

PyTorch implementation for Semantic Segmentation, include FCN, U-Net, SegNet, GCN, PSPNet, Deeplabv3, Deeplabv3+, Mask R-CNN, DUC, GoogleNet, and more dataset

suds

Scalable Urban Dynamic Scenes

synsin

View synthesis for the public.

vispy

Main repository for Vispy