diegovalsesia Goto Github PK

binary-adaptive-random-projections

Code for Binary adaptive embeddings from order statistics of random projections

deepsum

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

diegovalsesia.github.io

Personal webpage

gcdn

Deep Graph-Convolutional Image Denoising

gpdnet

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

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

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.

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

piunet

Permutation invariance and uncertainty in multitemporal image super-resolution

ran-gnn-molpcba

RAN-GNN code for molpcba open graph benchmark

randomized-local-aggregations

Code for Sampling of Graph Signals via Randomized Local Aggregations

sparsehash

speckle2void

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

xmfnet

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