diegovalsesia

gcdn

Deep Graph-Convolutional Image Denoising

GraphCNN-GAN

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

speckle2void

Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks

deepsum

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

XMFnet

Code for "Cross-modal Learning for Image-Guided Point Cloud Shape Completion" (NeurIPS 2022)

piunet

Permutation invariance and uncertainty in multitemporal image super-resolution

GPDNet

Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)

HyCoRe

Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)

hyperspectral-dequantization

Code from paper High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction

MMD-DDM

Fast Inference in Denoising Diffusion Models via MMD Finetuning

GraphCNN-GAN-codeonly

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution. Code only.

sparsehash

ran-gnn-molpcba

RAN-GNN code for molpcba open graph benchmark

binary-adaptive-random-projections

Code for Binary adaptive embeddings from order statistics of random projections

randomized-local-aggregations

Code for Sampling of Graph Signals via Randomized Local Aggregations

diegovalsesia.github.io

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