Junxian Chen (ChenJunX1an)

ChenJunX1an

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Home Page:cjxdsg@hnu.edu.cn

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Junxian Chen's starred repositories

OGC

🔥OGC in PyTorch (NeurIPS 2022)

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ProxyFormer

ProxyFormer (CVPR 2023)

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SPoTr

Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).

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SingleShapeGen

code for paper "Learning to Generate 3D Shapes from a Single Example", SIGGRAPH Asia 2022

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cp3

CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm

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OptDE

[ECCV2022] Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion via Occlusion Factor Manipulation

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pcl2pcl-gan-pub

Unpaired Point Cloud Completion on Real Scans using Adversarial Training

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PointGPT

[NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds

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DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

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Wavelet-Generation

Neural Wavelet-domain Diffusion for 3D Shape Generation [SIGGRAPH Asia 2022]

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shape_as_points

[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver

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DeepMLS

Deep Implicit Moving Least-Squares Functions for 3D Reconstruction

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pix2pix3D

pix2pix3D: Generating 3D Objects from 2D User Inputs

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Shape-Completion-with-Points-in-the-Shadow

[SIGGRAPH Aisa 2022 Conference Paper] Shape Completion with Points in the Shadow

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Density_aware_Chamfer_Distance

[ NeurIPS 2021 ] Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion"

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completion3d

Source code for baselines of the Stanford 3D Point Cloud Completion Benchmark (completion3d.stanford.edu) and TopNet: Structural Point Cloud Decoder, CVPR 2019

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VRCNet

[CVPR 2021 Oral] Variational Relational Point Completion Network

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MVP_Benchmark

MVP Benchmark for Multi-View Partial Point Cloud Completion and Registration

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CasFusionNet

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

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SDT

Codes for Point Cloud Completion via Skeleton-Detail Transformer

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GRNet

The official implementation of "GRNet: Gridding Residual Network for Dense Point Cloud Completion". (Xie et al., ECCV 2020)

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Detail-Preserved-Point-Cloud-Completion-via-SFA

Code for the ECCV 2020 paper: Detail Preserved Point Cloud Completion via Separated Feature Aggregation

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PU-Net_pytorch

PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018

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Multi-Task-Transformer

Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"

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SnowflakeNet

(TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer

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