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Score-based generative models for compact manifolds
[ECCV2022] RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Code for the paper: A Sketch based 3D Point Cloud Modeling System based on Deep Generation Network and Detail Editing
Towards-Implicit-Text-Guided-3D-Shape-Generation. CVPR 2022
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)
Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.
Semi-supervised Implicit Scene Completion from Sparse LiDAR
[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling
[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
Implementation of Popular Deep Learning Network using pytorch
Generative Adversarial Networks and Autoencoders for 3D Shapes
Must-read papers on prompt-based tuning for pre-trained language models.
Graph Neural Network Library for PyTorch
a pytorch extension for learning point clouds
indexing the progress in simulations to real world transfer for robot control and perception
Open source code for AlphaFold 2.
A data augmentations library for audio, image, text, and video.
[CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks