Alternatives and similar repositories for PSF

Users that are interested in PSF are comparing it to the libraries listed below

• ZhaoyangLyu / Point_Diffusion_Refinement
  A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
  ☆179Updated last year
• diffFacto / diffFacto
  DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion, ICCV 2023
  ☆62Updated last year
• alexzhou907 / PVD
  ☆300Updated last year
• mmspg / mesh-sampling
  ☆31Updated 3 years ago
• qizekun / PointVisualizaiton
  A point cloud visualization repo
  ☆90Updated last month
• SLIDE-3D / SLIDE
  Controllable Point Cloud and Mesh Generation
  ☆120Updated 2 years ago
• JohnRomanelis / SPVD
  SPVD: Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models
  ☆54Updated 8 months ago
• qizekun / VPP
  [NeurIPS 2023] VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation
  ☆34Updated last year
• pkudba / 3DHPA
  ☆21Updated last year
• Wuziyi616 / multi_part_assembly
  Code Accompany NeurIPS 2022 Dataset Paper: Breaking Bad. A Shape Assembly Benchmark Implemented in PyTorch
  ☆75Updated last year
• xnowbzhao / sapcu
  Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)
  ☆43Updated last year
• Jiaxin-Lu / Jigsaw
  [NeurIPS 2023] Jigsaw: Learning to Assemble Multiple Fractured Objects
  ☆46Updated last year
• lukemelas / projection-conditioned-point-cloud-diffusion
  Official code for "Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction" (CVPR 2023)
  ☆214Updated last month
• chenzhik / AnchorFormer
  ☆48Updated last year
• junshengzhou / 3D-OAE
  [ICRA'2024]: 3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds
  ☆38Updated last year
• ttlmh / Diffusion-SDF
  [CVPR 2023] Diffusion-SDF: Text-to-Shape via Voxelized Diffusion
  ☆196Updated 7 months ago
• Negai-98 / LDT
  This repository contains a PyTorch implementation of Latent Diffusion Transformer for Point Cloud Generation
  ☆16Updated 2 years ago
• SimingYan / IAE
  [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"
  ☆103Updated 3 months ago
• facebookresearch / PointInfinity
  Code for PointInfinity: Resolution-Invariant Point Diffusion Models
  ☆35Updated last year
• IIT-PAVIS / DiffAssemble
  Official repository for "DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly" accepted at CVPR2024
  ☆89Updated last year
• DiT-3D / DiT-3D
  🔥🔥🔥Official Codebase of "DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation"
  ☆299Updated last year
• CVLAB-Unibo / inr2vec
  Deep Learning on Implicit Neural Representations of Shapes (ICLR 2023)
  ☆57Updated last year
• optas / changeit3d
  Official pytorch code for "ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations"
  ☆70Updated 2 years ago
• yushuang-wu / SCoDA
  Implementation of "SCoDA: Domain Adaptive Shape Completion for Real Scans", published in CVPR2023
  ☆20Updated last year
• AnjieCheng / CanonicalVAE
  [ECCV'22] This repository is the implementation of "Autoregressive 3D Shape Generation via Canonical Mapping".
  ☆44Updated 3 years ago
• AllenXiangX / SnowflakeNet
  (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer
  ☆192Updated last year
• Tianxinhuang / ComPC
  The official codes of ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors
  ☆30Updated 5 months ago
• yunhe20 / Grad-PU
  This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learn…
  ☆86Updated 2 years ago
• FlyingGiraffe / vnn-pc
  Vector Neuron pointcloud networks for classification and segmentation. Separate training setups for VN-DGCNN and VN-PointNet
  ☆31Updated 3 years ago
• qinglew / FoldingNet
  This is the implementation for FoldingNet——an autoencoder for point cloud in PyTorch.
  ☆60Updated 2 years ago