bqm1111's repositories
clip_dinoiser
Official implementation of 'CLIP-DINOiser: Teaching CLIP a few DINO tricks' paper.
colmap
COLMAP - Structure-from-Motion and Multi-View Stereo
Cream
This is a collection of our NAS and Vision Transformer work.
CVPR-2023-24-Papers
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!
CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Diffusion_models_from_scratch
Creating a diffusion model from scratch in PyTorch to learn exactly how they work.
EcoDepth
[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"
fc-clip
[NeurIPS 2023] This repo contains the code for our paper Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
ig_handle
ig-handle: a handheld inspector gadget
intro_dgm
"Deep Generative Modeling": Introductory Examples
LangSplat
Official implementation of the paper "LangSplat: 3D Language Gaussian Splatting"
LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
MapUncertaintyPrediction
[CVPR 2024 Oral] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
Mask2Former
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
med-seg-diff-pytorch
Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space
MonoScene
[CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
odin
Code for the paper: "ODIN: A Single Model for 2D and 3D Perception" (CVPR 2024)
PEM
PEM: Prototype-based Efficient MaskFormer for Image Segmentation
POP3D
Source code for NeurIPS paper "POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images"
Semantic-Segmentation-under-Adverse-Conditions
Original PyTorch implementation of the paper "Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach", published at the British Machine Vision Conference (BMVC) 2022.
SPFNet
Scene Prior Filtering for Depth Map Super-Resolution
TEASER-plusplus
A fast and robust point cloud registration library
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch