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Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
🏡 Structure-from-Motion (SfM) and Multi-View Stereo (MVS)
We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.
CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Code for the SIGGRAPH 2021 paper "Consistent Depth of Moving Objects in Video".
Code for the SIGGRAPH 2021 paper "Consistent Depth of Moving Objects in Video".
[CVPR 2024] GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
A Modular Framework for 3D Gaussian Splatting and Beyond
Official implementations for paper: Anydoor: zero-shot object-level image customization
Official Code Release for [SIGGRAPH 2024] DilightNet: Fine-grained Lighting Control for Diffusion-based Image Generation
[CVPR2024] StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
COLMAP - Structure-from-Motion and Multi-View Stereo
Visual localization made easy with hloc
Intrinsic Image Diffusion for Single-view Material Estimation
A curried list of recent literature of 3D Gaussians
A curated list of awesome scene representation(NeRFs) papers, code, and resources.
A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.
Code for "FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent" by Cameron Smith*, David Charatan*, Ayush Tewari, and Vincent Sitzmann
A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.
IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild
Official implementation of OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
Program basing on https://github.com/Sunwinds/ShapeDescriptor that calculates distance for Wavefront OBJ objets.