IEEE

PTM: Torus Masking for 3D Representation Learning Guided by Robust and Trusted Teachers

Abstract: 3D Masked Point Modeling (MPM) typically involves randomly or blockly discarding points or patches and then reconstructing them, offering a promising avenue for exploring geometric ...
GitHub

[NeurIPS 2024] GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats

We build our code on EG3D (https://github.com/NVlabs/eg3d) and 3D-GS (https://github.com/graphdeco-inria/gaussian-splatting). Please dependencies of those two ...
GitHub

A generalizable 3D framework and model for self-supervised learning in medical imaging

This codebase contains PyTorch code and our 3DINO-ViT pretrained model for the 3DINO self-supervised framework for training networks on unlabled 3D medical images, developed at Sunnybrook Research ...
IEEE

Review of 3D Scene Reconstruction: From Traditional Methods to Advanced Deep Learning Models

Abstract: 3D scene reconstruction represents a pivotal domain within computer vision, involving a diverse array of techniques ranging from classical geometry-driven approaches to modern deep ...