eacsai

eacsai

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Depth-Anything-V2

Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

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co-tracker

CoTracker is a model for tracking any point (pixel) on a video.

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nerfstudio

A collaboration friendly studio for NeRFs

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nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

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dino-tracker

Official Pytorch Implementation for “DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video”

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Boosting3DoFAccuracy

ICCV2023: Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View Transformer

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segment-anything

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.

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muggled_dpt

Muggled DPT: Depth estimation without the magic

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Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

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flowmap

Code for "FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent" by Cameron Smith*, David Charatan*, Ayush Tewari, and Vincent Sitzmann

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CVLNet

ACCV 2022 oral "CVLNet: Cross-View Semantic Correspondence Learning for \\Video-based Camera Localization"

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GAMa

GAMa: Cross-view Video Geo-localization

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dust3r

DUSt3R: Geometric 3D Vision Made Easy

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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.

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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Sat2StrPanoramaSynthesis

Geometry-Guided Street-View Panorama Synthesis from Satellite Imagery, TPAMI 2022

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HC-Net

[NeurIPS 2023] Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator

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probe3d

[CVPR 2024] Probing the 3D Awareness of Visual Foundation Models

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OrienterNet

Source Code for Paper "OrienterNet Visual Localization in 2D Public Maps with Neural Matching"

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Segment-Everything-Everywhere-All-At-Once

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

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taming-transformers

Taming Transformers for High-Resolution Image Synthesis

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translating-images-into-maps

Official PyTorch code for 'Translating Images Into Maps' ICRA 2022 (Outstanding Paper Award)

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CNN_Learning

Repository for learning CNN

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SkyEye

SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images

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deep-burst-sr

Official implementation of Deep Burst Super-Resolution

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HighlyAccurate

CVPR2022 "Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image"

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ngp_pl

Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

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