• Stars
    star
    38
  • Rank 706,870 (Top 14 %)
  • Language
    Python
  • License
    MIT License
  • Created over 1 year ago
  • Updated over 1 year ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Environment light tools.

More Repositories

1

stable-dreamfusion

Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
Python
7,270
star
2

torch-ngp

A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.
Python
1,863
star
3

nerf2mesh

[ICCV2023] Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement
Python
743
star
4

RAD-NeRF

Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition
Python
707
star
5

Drag3D

DragGAN meets GET3D for interactive mesh generation and editing.
Python
456
star
6

diff-gaussian-rasterization

Cuda
308
star
7

Segment-Anything-NeRF

Segment-anything interactively in NeRF.
Python
277
star
8

chatgpt_please_improve_my_paper_writing

a thin wrapper of chatgpt for improving paper writing.
Python
251
star
9

torch-merf

An unofficial pytorch implementation of MeRF
Python
137
star
10

dreamfields-torch

A pytorch implementation of dreamfields with modifications.
Python
134
star
11

fantasia3d.unofficial

An unofficial reproduction of Fantasia3D
Python
127
star
12

CCNeRF

[NeurIPS 2022] Compressible-composable NeRF via Rank-residual Decomposition.
Python
125
star
13

nerf_template

a simple template for practicing NeRF.
Python
125
star
14

cubvh

CUDA Mesh BVH tools.
Cuda
121
star
15

jiif

[ACM MM 2021] Joint Implicit Image Function for Guided Depth Super-Resolution
Python
90
star
16

raytracing

A CUDA Mesh RayTracer with BVH acceleration, with python bindings and a GUI.
Cuda
83
star
17

volumentations

3D volume data augmentation package inspired by albumentations
Python
78
star
18

kiuikit

A maintained, reusable and trustworthy toolkit for computer vision tasks.
Python
42
star
19

FocalLoss.pytorch

Implementation of focal loss in pytorch for unbalanced classification.
Python
35
star
20

dimr

[ECCV 2022] Disentangled Instance Mesh Reconstruction
Python
27
star
21

NotVeryFastNeRF

an unofficial and partial implementation of FastNeRF
Jupyter Notebook
25
star
22

note

notebook archive
PowerShell
19
star
23

3d_human_poser

a naive 3d human pose editor GUI.
Python
16
star
24

vscode-mesh-viewer

A 3D mesh viewer for vscode
JavaScript
16
star
25

CCA

CCA, DCCA, DCCAE, ConvCCA
Python
14
star
26

grid_put

An operation trying to do the opposite of F.grid_sample
Python
13
star
27

index_grid_sample

Extension to `F.grid_sample` that allows using batch index per grid point.
Cuda
12
star
28

made-in-heaven-timer

create timer videos at any speed.
Python
11
star
29

q10r

A simple web questionnaire application.
Python
6
star
30

ddddsr

A python library for end-to-end image super resolution.
Python
5
star
31

lightnet

light weight convolutional neural network implementation in one c++ file.
C++
5
star
32

bsp_cvae

Python
4
star
33

learn_matmul

Cuda
3
star
34

trojan-privoxy-client

for unraid proxy.
Dockerfile
2
star
35

numpytorch

Monkey-patched numpy with pytorch syntax
Python
2
star
36

point_seg_dist

a CUDA implementation of points to lines/segments distance
C
2
star
37

pytorch_ddp_examples

Python
1
star
38

uuunet

Python
1
star
39

fbxloader

FBX file loader for python (only supports geometry currently)
Python
1
star
40

unraid_tutorial

2021年的unraid搭建教程
1
star
41

Uncertainty

program to calculate uncertainty for Physics experiment.
Python
1
star
42

CapsNet.pytorch

reimplementation of capsule network for MNIST classification.
Python
1
star
43

nonsense

NoNSeNSe frontend.
JavaScript
1
star
44

JLGCN

Joing learning of graphs and features
Python
1
star
45

live-speech-recognition

A simple sliding window based real-time speech recognition example.
Python
1
star
46

dullPLYviewer

HTML
1
star
47

MaxClique

Heuristic algorithms to solve the max clique problem.
C++
1
star
48

hawtorch

pytorch extensions for code reuse
Python
1
star