Breaking-Bad-Dataset / Breaking-Bad-Dataset.github.ioLinks
Project for NeurIPS'22 Dataset Track Paper: Breaking Bad Dataset
☆17Updated last year
Alternatives and similar repositories for Breaking-Bad-Dataset.github.io
Users that are interested in Breaking-Bad-Dataset.github.io are comparing it to the libraries listed below
Sorting:
- Code Accompany NeurIPS 2022 Dataset Paper: Breaking Bad. A Shape Assembly Benchmark Implemented in PyTorch☆77Updated last year
- [NeurIPS 2023] Jigsaw: Learning to Assemble Multiple Fractured Objects☆48Updated last year
- Official Implementation of PartGlot (CVPR 2022 Oral)☆34Updated 4 months ago
- [ECCV'22] This repository is the implementation of "Autoregressive 3D Shape Generation via Canonical Mapping".☆45Updated 3 years ago
- FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models, ICCV 2023☆13Updated last year
- PyTorch implementation for our CVPR 2023 paper SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Cor…☆31Updated 2 years ago
- [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"☆104Updated 6 months ago
- Controllable Point Cloud and Mesh Generation☆121Updated 2 years ago
- Code for "Generating Part-Aware Editable 3D Shapes without 3D Supervision", CVPR 2023☆49Updated last year
- Implementation of "SCoDA: Domain Adaptive Shape Completion for Real Scans", published in CVPR2023☆20Updated last year
- [ICCV23] SATR: Zero-Shot Semantic Segmentation of 3D Shapes☆105Updated 2 years ago
- [CVPR'23] Official PyTorch implementation of 3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process☆83Updated last year
- Official implementation of neural vector fields☆39Updated 2 years ago
- ☆49Updated last year
- [NeurIPS'21] This repository is the implementation of "Learning 3D Dense Correspondence via Canonical Point Autoencoder"☆20Updated 3 years ago
- This repo is a PyTorch implementation for Paper "MovingParts: Motion-based Part Discovery in Dynamic Radiance Field"☆25Updated last year
- DeCo: Denoise and Contrast for Category Agnostic Shape Completion☆36Updated 4 years ago
- DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion, ICCV 2023☆62Updated last year
- Official repository for "DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly" accepted at CVPR2024☆92Updated last year
- ☆186Updated 2 years ago
- Official pytorch code for "ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations"☆71Updated 2 years ago
- Implementation of CVPR'23: Learning 3D Scene Priors with 2D Supervision☆76Updated 2 years ago
- A point cloud visualization repo☆95Updated 3 months ago
- [WACV 2024] TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval☆28Updated 6 months ago
- Deep Learning on Implicit Neural Representations of Shapes (ICLR 2023)☆57Updated last year
- Code for "DiGS: Divergence guided shape implicit neural representation for unoriented point clouds" (CVPR2022)☆60Updated 3 weeks ago
- Official Pytorch implementation of Semantic Implicit Neural Scene Representations with Semi-Supervised Training☆13Updated 4 years ago
- [NeurIPS 2023 Spotlight] Code for "Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion"☆72Updated 2 years ago
- This is the official code for "Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories"☆51Updated 2 years ago
- Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)☆43Updated 2 years ago