The Image Shadow Triplets dataset (ISTD) is a dataset for shadow understanding that contains 1870 image triplets of shadow image, shadow mask, and shadow-free image.
98 PAPERS • 2 BENCHMARKS
SRD is a dataset for shadow removal that contains 3088 shadow and shadow-free image pairs.
48 PAPERS • 1 BENCHMARK
ISTD+ consists of shadow images, shadow-free images, and shadow masks, with 1,330 training images and 540 testing images from 135 unique background scenes. ISTD suffers from color and luminosity inconsistencies between shadow and shadow-free images, which ISTD+ corrects with a color compensation mechanism to ensure uniform pixel colors across the ground-truth images.
15 PAPERS • 1 BENCHMARK
Dataset for document shadow removal
9 PAPERS • NO BENCHMARKS YET
7 PAPERS • NO BENCHMARKS YET
A significant challenge in removing shadows from indoor scenes is obtaining shadow-free images. To overcome this challenge, we propose a novel rendering pipeline for generating shadowed and shadow-free images under direct and indirect illumination, and create a comprehensive synthetic dataset that contains over 30,000 image pairs, covering various object types and lighting conditions.
2 PAPERS • 2 BENCHMARKS
Doc3DShade extends Doc3D with realistic lighting and shading. Follows a similar synthetic rendering procedure using captured document 3D shapes but final image generation step combines real shading of different types of paper materials under numerous illumination conditions.
1 PAPER • NO BENCHMARKS YET
SD7K is the only large-scale high-resolution dataset that satisfies all important data features about document shadow currently, which covers a large number of document shadow images. Mean resolution is $2462 \times 3699$
A version of the WSRD Dataset will be used as a benchmark for the NTIRE24 Challenge on Image Shadow Removal.
1 PAPER • 1 BENCHMARK