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kurilab's Projects

cgintrinsics icon 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".

dpir icon dpir

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

graphs icon graphs

Figures that might be useful to someone

guidenet icon guidenet

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

kair icon kair

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

mitsuba2 icon mitsuba2

Mitsuba 2: A Retargetable Forward and Inverse Renderer

noise2noise icon noise2noise

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

papers icon papers

Summarizing the papers I have read (Japanese)

penet_icra2021 icon penet_icra2021

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

physo icon physo

Physical Symbolic Optimization

pixtransform icon pixtransform

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

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