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BJywhy's Projects

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(TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey

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# BX2S-Net This repository contains the code for the paper "BX2S-Net: Learning to Reconstruct 3D Spinal Structures from Bi-planar X-ray Images".

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Python code for the paper "A direct geometry processing cartilage generation method for using segmented bone models from datasets with poor cartilage visibility”

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Official PyTorch Implementation of ICCV 2023 Oral -Cross-Ray Neural Radiance Fields for Novel-view Synthesis from Unconstrained Image Collections

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[CVPR'2020] DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data

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Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606

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MICCAI 2023: Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

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A deep sift convolutional neural network

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Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

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Code for the paper "Learned Generative Shape Reconstruction from Sparse and Incomplete Point Clouds", which is a deep learning network to reconstruct 3D cardiac mesh from stacked 2D contours (point cloud).

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记录对nerf各种算法、应用、软件等等的学习过程

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NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

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