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3d-r2n2-pytorch

PyTorch version of 3D-R2N2

attsets

🔥AttSets in Tensorflow (IJCV 2019)

awsome_deep_geometry_learning

A list of resources about deep learning solutions on 3D shape processing

bpy-visualization-utils

Blender/bpy utilities for paper-ready visualizations of meshes, point clouds and occupancy grids.

contrastive-predictive-coding-for-image-recognition-in-pytorch

PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 and https://arxiv.org/abs/1905.09272 .

contrastive-predictive-coding-images

Keras implementation of Representation Learning with Contrastive Predictive Coding for images

crm

Single Image to 3D Textured Mesh in 10 seconds with Convolutional Reconstruction Model.

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

gltf

glTF – Runtime 3D Asset Delivery

gltf-blender-io

Blender glTF 2.0 importer and exporter

im2avatar

introductory-time-series-with-r-datasets

Datasets for the book "Introductory Time Series with R" by Cowpertwait & Metcalfe

liyingcv

Config files for my GitHub profile.

long-range-grouping-transformer

Implementation of "Long-Range Grouping Transformer for Multi-View 3D Reconstruction" [ICCV 2023]

o-cnn

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

objfile-to-binvox-to-nparray

A set of small programs and scripts to convert OBJ 3D file into vox space and then import it into python as an np array

ogn

Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs

pixel2mesh

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.

pixel2mesh-1

A complete Pixel2Mesh implementation in PyTorch

pixel2meshplusplus

Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. In ICCV2019.

pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

pytorch3d

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

shapenettools

Master thesis work on 3d object reconstruction from 2d images with graph convolution network (pixel2mesh adaption).

simclr

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

stanford-shapenet-renderer

Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.

text_simplification

Text Simplification Model based on Encoder-Decoder (includes Transformer and Seq2Seq) model.

texture_fields

This repository contains code for the paper 'Texture Fields: Learning Texture Representations in Function Space'.

transformer-in-vision

Recent Transformer-based CV and related works.