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point cloud upsampling
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/QWTforGithub/PUDM
공식 코드A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling
https://github.com/apusmog/apusmog
공식 코드Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians
https://github.com/chenlongwhu/pc2-pu
공식 코드PC$^2$-PU: Patch Correlation and Point Correlation for Effective Point Cloud Upsampling
https://github.com/corecai163/pscu
공식 코드Parametric Surface Constrained Upsampler Network for Point Cloud
https://github.com/dohoon2045/pu-edgeformer
공식 코드PU-EdgeFormer: Edge Transformer for Dense Prediction in Point Cloud Upsampling
https://github.com/fpthink/SSPU-Net
공식 코드SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering
https://github.com/guochengqian/PU-GCN
공식 코드PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
https://github.com/hapifuzi/spu-imr
공식 코드SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network
https://github.com/harborsarah/get-up
공식 코드GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling
https://github.com/hikvision-research/3dvision
공식 코드https://github.com/junshengzhou/levelsetudf
공식 코드Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
https://github.com/ky-zhou/zspu
공식 코드https://github.com/liruihui/Dis-PU
공식 코드https://github.com/liuxinhai/spu-net
공식 코드https://github.com/luost26/score-denoise
공식 코드https://github.com/octree-nn/upsample-clean
공식 코드Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs
https://github.com/rjtshrm/point-normals-upsampling
공식 코드Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface Reconstruction
https://github.com/shiqiu0419/pu-transformer
공식 코드https://github.com/sum1lim/PU-Ray
공식 코드PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit Surface
https://github.com/umass-lids/cunet
공식 코드CU-Net: Real-Time High-Fidelity Color Upsampling for Point Clouds
https://github.com/unknownue/pu-flow
공식 코드PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows
https://github.com/wanquanf/neuralpoints
공식 코드Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling
https://github.com/yulequan/PU-Net
공식 코드https://github.com/yunhe20/grad-pu
공식 코드Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions
https://github.com/Holmes-Alan/PUFM
https://github.com/UncleMEDM/PUGAN-pytorch
https://github.com/junshengzhou/vp2p-match
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
https://github.com/liruihui/PU-GAN
https://github.com/luost26/DMRDenoise
https://github.com/ninaqy/PUGeo
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling
https://github.com/rhtm02/Dis-PU
https://github.com/rhtm02/PU-Transformer
https://github.com/ryanphilly/DIS-PU-pytorch
https://github.com/skoo9500/3d-pc-AE-GAN
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.