windmillknight

Ask-Anything

[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.

LaVIT

LaVIT: Empower the Large Language Model to Understand and Generate Visual Content

OLMo

Modeling, training, eval, and inference code for OLMo

Context-Aware-3D-Point-Cloud-Semantic-Segmentation-With-Plane-Guidance

X-Decoder

[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language

stable-diffusion

A latent text-to-image diffusion model

threestudio

A unified framework for 3D content generation.

prolificdreamer

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)

Awesome-Incremental-Learning

Awesome Incremental Learning

Awesome_Prompting_Papers_in_Computer_Vision

A curated list of prompt-based paper in computer vision and vision-language learning.

awesome-source-free-test-time-adaptation

A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

Segment-and-Track-Anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

Unsupervised-Visual-Representation-Learning

Overview of unsupervised visual representation learning (or self-supervised learning, unsupervised pre-training) methods.

LISTA

Implementation of Learning Fast Approximations of Sparse Coding

jukebox

Code for the paper "Jukebox: A Generative Model for Music"

Point-NN

[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

Unbalanced-optimal-transport

UniOT-for-UniDA

Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"

PointCloudLearningACD

Code for the paper Label-Efficient Learning on Point Clouds usingApproximate Convex Decompositions.

Open-World-Contrastive-Learning

survey-computer-vision-2022

2022年计算机视觉技术综述分类汇总

nerf_pl

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

object-aware-contrastive

Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)

ISDA-for-Deep-Networks

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

SupervisedContrastive

Pytorch Implementation of "Supervised Contrastive Learning"

ProposalContrast

This repository contains the PyTorch implementation of the ECCV'2022 paper, ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection.

DODA

(ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation

TeachAugment

Official Implementation of TeachAugment: Data Augmentation Optimization Using Teacher Knowledge (CVPR2022, Oral)

FSCIL-3D

[ECCV 2022] Few-shot class incremental learning on 3D point clouid objects