jucic's repositories
3d-ken-burns
an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
AdaBins
Official implementation of Adabins: Depth Estimation using adaptive bins
awesome-computer-vision
A curated list of awesome computer vision resources
Awesome-Learning-MVS
A list of awesome learning-based multi-view stereo papers
awesome-NeRF
A curated list of awesome neural radiance fields papers
BEVFusion
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
BEVPerception-Survey-Recipe
Awesome BEV perception papers and cookbook for achieving SOTA results
CFNet
CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching(CVPR2021)
depthstillation
Demo code for paper "Learning optical flow from still images", CVPR 2021.
detectron2
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
DPT
Dense Prediction Transformers
giraffe
This repository will contain the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
high-res-stereo
Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.
LEAStereo
An end-to-end nas stereo matching network.
leetcode_101
LeetCode 101:和你一起你轻松刷题(C++)
mmdetection
OpenMMLab Detection Toolbox and Benchmark
Monkey
【CVPR 2024 Highlight】Monkey (LMM): Image Resolution and Text Label Are Important Things for Large Multi-modal Models
monodepth2
[ICCV 2019] Monocular depth estimation from a single image
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
SMD-Nets
SMD-Nets: Stereo Mixture Density Networks
stereo-transformer
Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers.
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
X-StereoLab
SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE; ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE
xrsfm
OpenXRLab Structure-from-Motion Toolbox and Benchmark
xtuner
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)