Middlebury

Middlebury Stereo

Dataset Information
Modalities
Images, Stereo
Introduced
2002
License
Homepage

Overview

The Middlebury Stereo dataset consists of high-resolution stereo sequences with complex geometry and pixel-accurate ground-truth disparity data. The ground-truth disparities are acquired using a novel technique that employs structured lighting and does not require the calibration of the light projectors.

Source: https://vision.middlebury.edu/stereo/data/
Image Source: https://www.researchgate.net/figure/The-stereo-matching-results-on-the-Middlebury-dataset-From-left-to-right-each-set-of_fig3_273399625

Variants: Middlebury, Middlebury - 2x upscaling, Middlebury - 4x upscaling

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Video Frame Interpolation IFRNet IFRNet: Intermediate Feature Refine Network … 2022-05-29
Video Frame Interpolation MA-CSPA Exploring Motion Ambiguity and Alignment … 2022-03-19
Video Frame Interpolation FILM FILM: Frame Interpolation for Large … 2022-02-10
Video Frame Interpolation CDFI CDFI: Compression-Driven Network Design for … 2021-03-18
Video Frame Interpolation BMBC BMBC:Bilateral Motion Estimation with Bilateral … 2020-07-17
Video Frame Interpolation SoftSplat Softmax Splatting for Video Frame … 2020-03-11
Video Frame Interpolation DAIN Depth-Aware Video Frame Interpolation 2019-04-01
Video Frame Interpolation MEMC-NET MEMC-Net: Motion Estimation and Motion … 2018-10-20
Video Frame Interpolation ToFlow Video Enhancement with Task-Oriented Flow 2017-11-24
Video Frame Interpolation SepConv-L1 Video Frame Interpolation via Adaptive … 2017-08-05

Research Papers

Recent papers with results on this dataset: