wyddmw Goto Github PK

bevformer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

convnext

Code release for ConvNeXt model

deformablecrfs

detr

End-to-End Object Detection with Transformers

diffusiondepth

PyTorch Implementation of introducing diffusion approach to 3D depth perception

distributed_training_framework

Distributed training framework

dsnerf

Code release for DS-NeRF (Depth-supervised Neural Radiance Fields)

google-research

Google Research

lmdrive

LMDrive: Closed-Loop End-to-End Driving with Large Language Models

mobilevlm

Strong and Open Vision Language Assistant for Mobile Devices

nerf_pl

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

nerfingmvs

[ICCV 2021 Oral] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo

normal-assisted-stereo

[CVPR 2020] Normal Assisted Stereo Depth Estimation

pointnet_geoerror

rot_norm

Rotation normalization for point cloud

rotpred

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

stereo-from-mono

[ECCV 2020] Learning stereo from single images using monocular depth estimation networks

test.github.io

UTS Group Seminar http://www.zdzheng.xyz

vision

Datasets, Transforms and Models specific to Computer Vision

visual_box

vit-pytorch

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

votenet-kitti