Lists (8)
Stars
real time face swap and one-click video deepfake with only a single image
An easy to use PyTorch to TensorRT converter
Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[ECCV 2024] Tokenize Anything via Prompting
[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
Publication-ready NN-architecture schematics.
Advanced RANSAC (DEGENSAC) with bells and whistles for H and F estimation
Source Code for Paper "OrienterNet Visual Localization in 2D Public Maps with Neural Matching"
Official implementation of Semantic SuperPoint (LARS-2022): https://arxiv.org/abs/2211.01098
🚀 Deep learning includes superpoint-superglue(C++, TensorRT), and traditional algorithms include zkaze, surf, ORB, etc.
"Effective Whole-body Pose Estimation with Two-stages Distillation" (ICCV 2023, CV4Metaverse Workshop)
Joint deep network for feature line detection and description
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Line as a Visual Sentence: Context-aware Line Descriptor for Visual Localization (Line Transformer)
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
SuperPoint and SuperGlue with TensorRT. Deploy with C++.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Official PyTorch code of DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization (ICCV 2021 Oral).
[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022