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awesome-holistic-3d

A list of papers and resources (data,code,etc) for holistic 3D reconstruction in computer vision

cluster_control

cluster_deploy

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

compat3d

3DCoMPaT++: An improved large-scale 3D vision dataset for compositional recognition

diffmat

PyTorch-based differentiable material graph library for procedural material capture

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

domain-adaptation-paper-list

Domain Adaptation paper in various applications

dpt

Dense Prediction Transformers

eg3d

hello-world

test

higan

Code for paper `Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis`

implicit3dunderstanding

Official PyTorch code of Holistic 3D Scene Understanding from a Single Image with Implicit Representation (CVPR 2021). Also includes a PyTorch implementation of the decoder of LDIF (from 3D Shape Representation with Local Deep Implicit Functions).

indoorlightediting

inverserenderingofindoorscene

isospectralization-pytorch

latent-nerf

Official Implementation for "Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures"

lsun-room

[ICPR 2018] Indoor Scene Layout Estimation from a Single Image.

mask2former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

maskformer

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

onegan

One more freaking GAN, I'll be sick.

optix-pathtracer-basic-high-quality-rendering

optix-pathtracer-direct-lighting

optix-pathtracer-indirect-lighting

optixrenderer

An optix-based GPU path tracer

perceptualsimilarity

LPIPS metric. pip install lpips

rdae

Implementation of SIGGRAPH'17 paper: Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder

sdfstudio-tools

segment-anything

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.

shiq

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