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3d-pointcloud

Papers and Datasets about Point Cloud.

3d_shape_inpainting

Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks

3d_url_survey

Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey

3dqd

Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process

3dteethseg22_challenge

3dvision

FBNet: Feedback Network for Point Cloud Completion

acl-spc_pytorch

ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion

art

Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes, 3DV'22

atlasnet

AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation

atlasnetv2

Learning elementary structures for 3D shape generation and matching

autosdf

AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation

awesome-3d-generation

A curated list of awesome 3d generation papers

brgm-pytorch

casfusionnet

CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion [AAAI 2023]

condor

[CVPR 2022] Official code release of ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes

cra-pcn

[AAAI'24] CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers

dalle2-laion

Pretrained Dalle2 from laion

dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

diffusion-point-cloud

Diffusion Probabilistic Models for 3D Point Cloud Generation

dit-3d

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation

docker-share

fsc

FSC: Few-point Shape Completion

latent_3d_points

Learning Representations and Generative Models for 3D Point Clouds

lfa

lion

Latent Point Diffusion Models for 3D Shape Generation

mesh_labeler

A GUI program based on vedo and VTK that can annotate mesh models; this project is powered by SOVE Inc.

meshgan

MeshGAN: Non-linear 3D Morphable Models of Faces

meshsegnet

PyTorch version of MeshSegNet for tooth segmentation of intraoral scans (point cloud/mesh). The code also includes visdom for training visualization; this project is partially powered by SOVE Inc.

meshwgan

Mesh-to-Mesh Wasserstein GAN with Multi-Task Gradient Penalty for 3D Facial Geometric Age Transformation

mrtnet

Multiresolution Tree Networks for 3D Point Cloud Processing (ECCV 2018)