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urbanassetextraction

Code for our ECCV 2016 publication.

userinterface

usfm.github.io

The framework for uncertatitnty computation for SfM pipelines.

uvatlas

UVAtlas isochart texture atlas

vaex

Out-of-Core DataFrames for Python, visualize and explore big tabular data at a billion rows per second.

valuationgame

vdo_slam

VDO-SLAM: A Visual Dynamic Object-aware SLAM System

vi_depth_completion

vibe

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

vicalib

Visual-Inertial Calibration Tool

vid2curve

Thin structure reconstruction

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

videoautoencoder

Video Autoencoder: self-supervised disentanglement of 3D structure and motion (ICCV 2021). Website: https://zlai0.github.io/VideoAutoencoder/

videopose3d

Efficient 3D human pose estimation in video using 2D keypoint trajectories

videosensors

Android application that records video and motion data from an android smartphone simultaneously.

viewal

Implementation for the paper "ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation"

viewformer

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

vins-on-android

Deploy VINS on android platform, it could run in real time

vis-mvsnet

Visibility-aware Multi-view Stereo Network

visformer

vision-aided-gan

Ensembling Off-the-shelf Models for GAN Training (CVPR 2022 Oral)

vision-for-action

Code to accompany "Does computer vision matter for action?"

visloc-relapose

vispe

Code for Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

vistr

[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers

visual_slam_related_research

视觉(语义) SLAM 相关研究跟踪

viton-gan

Implementation of the paper "VITON-GAN: Virtual Try-on Image Generator Trained with Adversarial Loss" by Shion Honda.

vitruvio

vlad

Python implementation of VLAD descriptors