3D Point Cloud Reconstruction
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Encoding and reconstruction of 3D point clouds.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Osobarako/alduswarrensewell
https://github.com/POSTECH-CVLab/FastPointTransformer
https://github.com/POSTECH-CVLab/point-transformer
https://github.com/PaParaZz1/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/PaddlePaddle/Paddle3D
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/machine_translation/transformer
https://github.com/PaddlePaddle/PaddleSpeech
https://github.com/Pezhin/best_yelp_review_project_ever
https://github.com/Phimos/Paddle-PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Pointcept/GPT4Point
https://github.com/PrideLee/sentiment-analysis
https://github.com/RF5/CurveNet
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
https://github.com/Rami97rgb/French-to-English-Translator
https://github.com/Remiphilius/PoemesProfonds
https://github.com/RenXiangyuan/tf_bert
https://github.com/RichardMinsooGo-ML/Pytorch-Yolo-3d-Yolov3
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud
https://github.com/RichardMinsooGo-ML/Pytorch-Yolo-3d-Yolov4
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud
https://github.com/Rishit-dagli/Perceiver
https://github.com/Rudedaisy/attention-is-all-you-need-pytorch
https://github.com/SBPL-Cruz/perch_pose_sampler
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/SCismycat/bert_code_view
https://github.com/SY-Xuan/pointnet_paddle
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/SY-Xuan/pointnet_plus_plus_paddlepaddle
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/SYangDong/bert-with-frozen-code
https://github.com/Satan012/BERT
https://github.com/SeoroMin/transformer_pytorch
https://github.com/SeoroMin/transformer_pytorch_ver2
https://github.com/ShadowShadowWong/update-pointnet-work
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Sharpiless/Point-Transformer-Pytorch
https://github.com/Shasvat-Desai/Shasvat-Desai
https://github.com/ShiQiu0419/GFNet
Geometric Back-projection Network for Point Cloud Classification
https://github.com/Shinya-Kouda/kgc
https://github.com/ShivamRajSharma/Transformer-Architectures-From-Scratch
https://github.com/ShuvenduBikash/transformer_spelling_corrector
https://github.com/ShwetaBaranwal/Transformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.