cunminzhao Goto Github PK

3dmms_new

awesome-deblurring

A curated list of resources for Image and Video Deblurring

blind2unblind

This is an official implementation of the CVPR2022 paper "Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots".

cmap

copyrnerf-code

cshaper

Implementation of CShaper https://doi.org/10.1038/s41467-020-19863-x

cunerf

[ICCV2023] CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution

deblur-nerf

deepdepthdenoising

This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf (ICCV19)

denoising-fluorescence

CVPR 2019: Fluorescence Microscopy Denoising (FMD) dataset

diffusionerf

[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

dp-nerf

[CVPR 2023 - Official] DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors

efficientsam

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

embsam

the code release of paper "EmbSAM: Cell boundary localization and Segment Anything Model for 3D fast-growing embryos"

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

github-slideshow

A robot powered training repository :robot:

guidata

hzwer

ichicken-kun

H5 Games

implicit-electron-tomography

llflow

[AAAI 2022] The code release of paper "AAAI Low-Light Image Enhancement with Normalizing Flow"

markdown-resume-template

My CV

medlsam

MedLSAM: Localize and Segment Anything Model for 3D Medical Images

multi_contrast_inr

Source Code for our MICCAI Paper: Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

ngp_pl

Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

niddl

Deep denoising pushes the limit of functional data acquisition by recovering high SNR calcium traces from low SNR videos acquired using low laser power or smaller exposure time. Thus deep denoising enables faster and longer volumetric recordings.

noise2sim

Noise2Sim is a general unsupervised deep denoising method.

prs-sim

Pixel-realignment based self-supervised reconstruction for structured illumination microscopy

read-hashnerf-pytorch