octree-nn / ocnn-pytorch
Octree-based 3D Convolutional Neural Networks
☆183Updated 3 months ago
Alternatives and similar repositories for ocnn-pytorch:
Users that are interested in ocnn-pytorch are comparing it to the libraries listed below
- OctFormer: Octree-based Transformers for 3D Point Clouds☆293Updated last week
- (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer☆175Updated 9 months ago
- [ICCV 2023 & IJCV 2025] SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator☆61Updated last month
- [ NeurIPS 2021 ] Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion"☆151Updated 3 years ago
- Controllable Point Cloud and Mesh Generation☆113Updated last year
- This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learn…☆78Updated last year
- [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"☆102Updated 2 years ago
- A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion☆165Updated last year
- ☆39Updated last year
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆221Updated 9 months ago
- Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"☆365Updated 5 years ago
- Official code for "Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction" (CVPR 2023)☆197Updated 2 years ago
- rendering (optionally temporal) point clouds using Mitsuba2☆157Updated last year
- [ICCV 2023 Oral] ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes☆221Updated last week
- ☆243Updated 2 years ago
- ☆81Updated 2 years ago
- Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)☆39Updated last year
- Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces☆73Updated last year
- CamTools: Camera Tools for Computer Vision☆192Updated 2 months ago
- [CVPR 2022] POCO: Point Convolution for Surface Reconstruction☆212Updated last year
- Official PyTorch Implementation of paper "Vision Transformer for NeRF-Based View Synthesis from a Single Input Image", WACV 2023.☆111Updated 11 months ago
- ☆59Updated 7 months ago
- Official code repository for the paper: “Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions”☆263Updated last year
- [ICCV 2023] GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation☆105Updated 6 months ago
- Chamfer Distance in Pytorch with f-score☆355Updated 4 years ago
- CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers☆49Updated 7 months ago
- [TPAMI'2024 / NeurIPS'2022]: CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Fie…☆105Updated 4 months ago
- ☆373Updated 2 weeks ago
- ☆274Updated last year
- Modules, operators and utilities for 3D neural rendering in single-object, multi-object, categorical and large-scale scenes.☆148Updated 11 months ago