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Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
[CVPR 2024 Highlight] Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching
A curated list of awesome Deep Stereo Matching resources
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
Official implementation of "Bilateral Normal Integration" (BiNI), ECCV 2022.
3D reconstruction from 2D images using binocular disparity.
ducha-aiki / Metric3D
Forked from YvanYin/Metric3DThe repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image"
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
[ECCV'24] GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image
run DROID-SLAM with Metric3D to improve monocular performance
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
Anomaly Detection via Reverse Distillation from One-Class Embedding
The code for Polarization Human Pose and Shape Dataset.
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)
Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud (TVCG 2021)
Pytorch implementation for "Point Cloud Super Resolution with Adversarial Residual Graph Networks" https://arxiv.org/abs/1908.02111
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Point Cloud Super Resolution with Adversarial Residual Graph Networks
Linear depth estimation from an uncalibrated, monocular polarisation image
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
This code provides a tutorial to understand the demosaicing and experience the pipeline of demosaiking. Bilinear Interpolation is used in this tutorial
李宏毅2021/2022/2023春季机器学习课程课件及作业
[ECCV 2020] Spatial-Angular Interaction for Light Field Image Super-Resolution
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Unofficial pytorch implementation of Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection