kurilab's repositories

Awesome-InverseRendering

List of awesome papers on Intrinsic Decomposition & Inverse Rendering

Awesome-Polarization

List of awesome papers on Polarization Imaging

papers

Summarizing the papers I have read (Japanese)

Awesome-BRDF

List of awesome papers on BRDF

albumentations_test

albumentations test

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Awesome-DualPixel

List of awesome papers on Dual-Pixel Imaging

graphs

Figures that might be useful to someone

mitsuba_data

Scene file for mitsuba

noise2noise

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

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CGIntrinsics

This is the CGIntrinsics implementation described in the paper "CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering, Z. Li and N. Snavely, ECCV 2018".

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Color-guided-Depth-Recovery-from-RGB-D-Data-Using-an-Adaptive-Auto-regressive-Model

This is the C implementation of the paper "Color-guided Depth Recovery from RGB-D Data Using an Adaptive Auto-regressive Model" in TIP 2014. It is the same as the MATLAB source code provided by the author. However, it can run much faster and can handle much larger depth maps.

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DPIR

Plug-and-Play Image Restoration with Deep Denoiser Prior (PyTorch)

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dual-pixel-disparity

[CVPR 2023] Spatio-Focal Bidirectional Disparity Estimation from a Dual-Pixel Image

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guided-filter

Implementation of Guided Image Filtering.

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GuideNet

Implementation for our paper 'Learning Guided Convolutional Network for Depth Completion'

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improc_py

Image Processing written in Python

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KAIR

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN

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PENet_ICRA2021

ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"

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PhySO

Physical Symbolic Optimization

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PixTransform

Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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tool_py

Tools written in Python

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U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

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unsupervised-learning-intrinsic-images

Implementation of the intrinsic image decomposition algorithm described in "Learning Intrinsic Image Decomposition from Watching the World, Z. Li and N. Snavely, CVPR 2018"

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

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