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video-swin-transformer

This is an official implementation for "Video Swin Transformers".

videomae

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

viewformer

ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers

vision

Datasets, Transforms and Models specific to Computer Vision

visprog

Official code for VisProg (CVPR 2023)

vista

This repo presents you the official code of "VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention"

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

vitalab.github.io

Website of the Vitalab :

vlpart

VLPart: Going Denser with Open-Vocabulary Part Segmentation

volumentations

Library for 3D augmentations

vop

[CVPR 2023] VoP: Text-Video Co-operative Prompt Tuning for Cross-Modal Retrieval

votenet

Deep Hough Voting for 3D Object Detection in Point Clouds

votr

Voxel Transformer for 3D object detection

voxel-mae

Voxel-MAE: Masked Autoencoders for Pre-training Large-scale Point Clouds

voxelgpt

AI assistant that can query visual datasets, search the FiftyOne docs, and answer general computer vision questions

voxset

Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds (CVPR 2022)

vrcnet

[CVPR 2021 Oral] Variational Relational Point Completion Network

vtoonify

[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer

weaksuppointcloudseg

window-normalization

ws-fcn

x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers

x-vlm

X-VLM: Multi-Grained Vision Language Pre-Training (ICML 2022)

xmfnet

Code for "Cross-modal Learning for Image-Guided Point Cloud Shape Completion" (NeurIPS 2022)

xmuda

Cross-Modal Unsupervised Domain Adaptationfor 3D Semantic Segmentation