{"repo":"compphoto/Intrinsic","free":true,"listed":false,"github":"https://github.com/compphoto/Intrinsic","clone":"git clone https://github.com/compphoto/Intrinsic.git","description":"Repo for the papers \"Intrinsic Image Decomposition via Ordinal Shading\" (TOG 2023) and \"Colorful Diffuse Intrinsic Image Decomposition in the Wild\" (TOG 2024)","language":"Python","stars":378,"topics":["computer-graphics","computer-vision","image-processing","intrinsic-decomposition","inverse-rendering","machine-learning","multi-illumination"],"license":null,"category":"machine-learning","readme_excerpt":"Intrinsic Image Decomposition This repository contains the code for the following papers: Colorful Diffuse Intrinsic Image Decomposition in the Wild , Chris Careaga and Yağız Aksoy, ACM Transactions on Graphics, 2024 \\ Project Paper Supplementary Demo Intrinsic Image Decomposition via Ordinal Shading , Chris Careaga and Yağız Aksoy, ACM Transactions on Graphics, 2023 \\ Project Paper Video Supplementary Data Patent pending --- We propose a method for generating high-resolution intrinsic image decompositions for in-the-wild images. Our method consists of multiple stages. We first estimate a grayscale shading layer using our ordinal shading pipeline. We then estimate low-resolution chromaticity information to account for colorful illumination effects while maintaining global consistency. Using this initial colorful decomposition, we estimate a high-resolution, sparse albedo layer. We show that our decomposition allows us to train a diffuse shading estimation network using only a single rendered indoor dataset. Our estimated components unlock multiple illumination-aware editing operations such as per-pixel white balancing and specularity removal: Try out our pipeline on your own images in Colab or on Setup Depending on how you would like to use the code in this repository there are two options to setup the code. In either case, you should first create a fresh virtual environment ( python3 -m venv intrinsic env ) and start it ( source intrinsic env/bin/activate ) You can install t","default_branch":null,"files":null,"tree":[],"storefront":"/r/compphoto","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/compphoto/Intrinsic/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}