Eric-Liang-Lu-OUC

Eric-Liang-Lu-OUC's starred repositories

DFNet

Deep Fusion for Image Inpainting

Language:Python400

spectrum-inpainting

Resolution Invariant Image Inpainting using Frequency Space

Language:Python200

Global-and-Local-Attention-Based-Free-Form-Image-Inpainting

Official implementation of "Global and local attention-based free-form image inpainting"

Language:PythonNOASSERTION5600

Color-Image-Inpainting

Image inpainting based on OMP and KSVD algorithm

Language:MatlabMIT8100

Faster-High-Res-Neural-Inpainting

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

Language:LuaMIT129400

photometric-mesh-optim

Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction :globe_with_meridians: (CVPR 2019)

Language:PythonMIT20900

DL-Multispectral

Deep learning for multispectral imaging

Language:Python1000

shred

Matlab code for estimating Hyperspectral data from RGB/Multispectral images

Language:MATLAB5000

amb_ps_bmvc2016

Code implementing the paper 'Near-Field Photometric Stereo in Ambient Light.' from BMVC 2016

Language:MatlabGPL-3.01300

neuralps

Code of Neural Inverse Rendering for General Reflectance Photometric Stereo (ICML 2018)

Language:Python2800

ICCP_DL_PS

Code for dictioanry based Photometric Stereo

Language:MATLAB1900

SDPS-Net

Learning Based Uncalibrated Photometric Stereo for Non-Lambertian Surface (CVPR 2019 Oral)

Language:PythonMIT17200

near_ps

Code for solving photometric stereo under calibrated or semi-calibrated near point light source illumination (e.g., LEDs).

Language:MATLABGPL-3.04300

PS-FCN

Learning Based Calibrated Photometric Stereo for Non-Lambertian Surface (ECCV 2018)

Language:PythonMIT9500

SRmeetsPS

Source code for our paper "Depth Super-Resolution Meets Uncalibrated Photometric Stereo"

Language:MATLABMIT6000

pms

Photometric Stereo

Language:PythonMIT2500

deep-photometric-stereo-network

This is the project page for our ICCVW 2017 paper 'Deep photometric stereo network' by Hiroaki Santo, Masaki Samejima, Yusuke Sugano, Boxin Shi, and Yasuyuki Matsushita.

Language:PythonMIT4000

RobustPhotometricStereo

Robust Photometric Stereo

Language:Python15800

Realtime-Photometric-Stereo

Implementing realtime photometric-stereo using a monochromatic Point Grey Chameleon camera and 8 leds.

Language:C++MIT5700