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multi-human-parsing

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

multi-illuminant-based-color-constancy

Combining bottom-up and top-down visual mechanisms for color constancy under varying illumination. This repository contains the datasets and codes published for color constancy under varying illmunations. -----------COPYRIGHT NOTICE STARTS WITH THIS LINE------------ Copyright (c) 2019 All rights reserved. This doucuments are a rough version for summarizing the results and codes in publication [1], which is available only for research purpose. We preserve the rights to further correct and update the data. This dataset contains three datasets for color constancy under varying illuminations, which are used in publication [1]. real-world dataset with multi-illuminant: the real-world dataset contains 37 images captured under vairous non-uniform light sources. synthetic dataset with multi-illuminant: the dataset with the synthetic multiple illuminants contains 100 images. MCC-BU+TD: This dataset contains results of multiple MCC algorithms on several real-world images taken from the web, which could be easily used and compared in any research publications. More information please refer to readme.txt in each folder. If you use this dataset for the evaluation of your approach and producing the results, please cite our work as follows: [1] S. Gao, Y. Ren, M. Zhang and Y. Li, "Combining bottom-up and top-down visual mechanisms for color constancy under varying illumination," in IEEE Transactions on Image Processing. doi: 10.1109/TIP.2019.2908783 [2] X.-S. Zhang, S.-B. Gao, R.-X. Li, X.-Y. Du, C.-Y. Li, and Y.-J. Li, “A retinal mechanism inspired color constancy model,” IEEE Transactions on Image Processing, vol. 25, no. 3, pp. 1219–1232, 2016. [3] K.-F. Yang, S.-B. Gao, Y.-J. Li, and Y. Li, “Efficient illuminant estimation for color constancy using grey pixels,” in Proceedings of the IEEE conference on computer vision and pattern recognition, 2015, pp. 2254–2263. [4] Gao, S. B., Yang, K. F., Li, C. Y., & Li, Y. J. (2015). Color constancy using double-opponency. IEEE transactions on pattern analysis and machine intelligence, 37(10), 1973-1985. Any questions and comments are welcome to [email protected]

multi-pass-gan

Source code for SCA paper "A Multi-Pass GAN for Fluid Flow Super-Resolution"

multi-scale-attention

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

multi-task-modulation-module

Code release for paper "A Modulation Module for Multi-task Learning with Applications in Image Retrieval"

multi-view-wire-art

Multi-view Wire Art

multibounce_reflectometry

Multi-bounce reflectometry using differentiable rendering

multicamcalib

multichart3dgans

This repository contains the source codes for the paper "Multi-chart Generative Surface Modeling"

multicopter_design

multigarmentnetwork

Repo for "Multi-Garment Net: Learning to Dress 3D People from Images, ICCV'19"

multilevel-wasserstein-means

multilinear_heads

Implementation of a multilinear model for skull, facial tissue thickness, and skin from our paper at VCBM 2018.

multilinearmodelfitting

The provided program loads a multilinear face model and fits this model to a point cloud or a triangle mesh.

multilinearreconstruction

Refactored multilinear reconstruction code.

multimodal-affinities

Official implementation code accompanying the paper: "Learning Multimodal Affinities for Textual Editing in Images".

multimodal-affinities-1

Official implementation code accompanying the paper: "Learning Multimodal Affinities for Textual Editing in Images".

multimodal-emotion-recognition

A real time Multimodal Emotion Recognition web app for text, sound and video inputs

multimodal-shape-completion

code for our ECCV 2020 spotlight paper "Multimodal Shape Completion via Conditional Generative Adversarial Networks"

multiperson

Code repository for the paper: "Coherent Reconstruction of Multiple Humans from a Single Image" in CVPR'20

multiple-object-tracking-lidar

C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud

multiscaleinterpolation

Code of multi-scale semi-local image interpolation algorithm described in "Multiscale Semilocal Interpolation With Antialiasing, K. Guo, X. Yang, H. Zha, W. Lin and S. Yu, IEEE Trans. on Image Processing, 2012".

multiscanregistration

multisensory

Code for the paper: Audio-Visual Scene Analysis with Self-Supervised Multisensory Features

multitopo

multiview

multiview-human-pose-estimation-pytorch

This is an official Pytorch implementation of "Cross View Fusion for 3D Human Pose Estimation, ICCV 2019". It establishes a new state-of-the-art in this field. The 3D error of our approach is about 26mm on the H36M dataset.

multiview2novelview

An official TensorFlow implementation of "Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence" (ECCV 2018) by Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, and Joseph J. Lim

multiview_notebooks

A collection of educational notebooks on multi-view geometry and computer vision.

multiview_preprocessing