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Point Cloud Generation

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보존된 평가 기록

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AnjieCheng/CanonicalVAE

공식 코드

Autoregressive 3D Shape Generation via Canonical Mapping

https://github.com/Colin97/MSN-Point-Cloud-Completion

공식 코드

Morphing and Sampling Network for Dense Point Cloud Completion

https://github.com/CuiRuikai/Latent-Transport-UPCN

공식 코드

Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion

https://github.com/HimangiM/Self-Supervised-Point-Cloud-Completion-via-Inpainting

공식 코드

Self-Supervised Point Cloud Completion via Inpainting

https://github.com/NVlabs/sds-complete

공식 코드

Point-Cloud Completion with Pretrained Text-to-image Diffusion Models

https://github.com/Regenerator/dpf-nets

공식 코드

Discrete Point Flow Networks for Efficient Point Cloud Generation

https://github.com/RuojinCai/ShapeGF

공식 코드

Learning Gradient Fields for Shape Generation

https://github.com/Semanticity-Research/ARCH2S

공식 코드

ARCH2S: Dataset, Benchmark and Challenges for Learning Exterior Architectural Structures from Point Clouds

https://github.com/ThibaultGROUEIX/AtlasNet

공식 코드

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

https://github.com/Tianxinhuang/ComPC

공식 코드

ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors

https://github.com/XLechter/Detail-Preserved-Point-Cloud-Completion-via-SFA

공식 코드

Detail Preserved Point Cloud Completion via Separated Feature Aggregation

https://github.com/Yan-Xia/ASFM-Net

공식 코드

ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion

https://github.com/Yan-Xia/RealPoint3D

공식 코드

RealPoint3D: Point Cloud Generation from a Single Image with Complex Background

https://github.com/allenxiangx/snowflakenet

공식 코드

SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer

https://github.com/alpha-vllm/lumina-t2x

공식 코드

Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT

https://github.com/andrespulido8/sonar_sparse_point_cloud

공식 코드

Time and Cost-Efficient Bathymetric Mapping System using Sparse Point Cloud Generation and Automatic Object Detection

https://github.com/antoalli/Deco

공식 코드

Denoise and Contrast for Category Agnostic Shape Completion

https://github.com/basher8488881/lightndf

공식 코드

Convolutional Neural Network-based Efficient Dense Point Cloud Generation using Unsigned Distance Fields

https://github.com/ccc870206/3d-pl

공식 코드

3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling

https://github.com/chenchao15/2d_projection_matching

공식 코드

Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching

https://github.com/chenhsuanlin/3D-point-cloud-generation

공식 코드

Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction

https://github.com/colorful-liyu/3dqd

공식 코드

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

https://github.com/corecai163/pscu

공식 코드

Parametric Surface Constrained Upsampler Network for Point Cloud

https://github.com/cuiruikai/partial2complete

공식 코드

P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds

https://github.com/czvvd/svdformer

공식 코드

SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator

https://github.com/df-boy/t-corresnet

공식 코드

T-CorresNet: Template Guided 3D Point Cloud Completion with Correspondence Pooling Query Generation Strategy

https://github.com/diegovalsesia/xmfnet

공식 코드

Cross-modal Learning for Image-Guided Point Cloud Shape Completion

https://github.com/diviswen/Cycle4Completion

공식 코드

Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding

https://github.com/diviswen/PMP-Net

공식 코드

PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths

https://github.com/easyry/cra-pcn

공식 코드

CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers

https://github.com/fei960922/GPointNet

공식 코드

Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification

https://github.com/forestsen/GPN

공식 코드

GPN: Generative Point-based NeRF

https://github.com/fpthink/PDGN

공식 코드

Progressive Point Cloud Deconvolution Generation Network

https://github.com/fudan-zvg/nerf-lidar

공식 코드

NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields

https://github.com/gmum/3d-point-clouds-autocomplete

공식 코드

HyperPocket: Generative Point Cloud Completion

https://github.com/goldoak/spotlights

공식 코드

Spotlights: Probing Shapes from Spherical Viewpoints

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