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3d-aae

Adversarial Autoencoders for Compact Representations of 3D Point Clouds

3d-recon

Implementation for paper "Learning Single-View 3D Reconstruction with Limited Pose Supervision".

adversarialnetspapers

The classical Papers and codes about adversarial nets

arctic-captions

caption images w/ visual attn

atlasnet

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

awesome-deep-vision

A curated list of deep learning resources for computer vision

aws_setup

bayesian_search_model

calendar

calendar implemented with famous

cider

python codes for CIDEr - Consensus-based Image Caption Evaluation

coco-caption

coco-text

COCO-Text API http://vision.cornell.edu/se3/coco-text/

consistency_models

Official repo for consistency models.

consistency_models_cifar10

Consistency models trained on CIFAR-10, in JAX.

cornell-cs5785-2022-applied-ml

Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2022)

cs5785-fall-2018

cvpr18-caption-eval-1

darknet

drqa

Reading Wikipedia to Answer Open-Domain Questions

dust3r

DUSt3R: Geometric 3D Vision Made Easy

dvgo

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

ganhacks

starter from "How to Train a GAN?" at NIPS2016

graphcnn-gan

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

grass_pytorch

PyTorch Implementation of GRASS

hficampus

jax-diffusion-transformer

Implementation of Diffusion Transformer (DiT) in JAX

k-planes

kkdjt