3D Point Cloud Generation via Autoregressive Up-sampling

11 March 2025

Papers citing "3D Point Cloud Generation via Autoregressive Up-sampling"

25 / 25 papers shown

Title
Autoregressive Image Generation without Vector Quantization Tianhong Li Yonglong Tian He Li Mingyang Deng Kaiming He DiffM 124 235 0 17 Jun 2024
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling Wentao Qu Yuantian Shao Lingwu Meng Xiaoshui Huang Liang Xiao 56 11 0 03 Dec 2023
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 1.5K 14,699 0 15 Mar 2023
LION: Latent Point Diffusion Models for 3D Shape Generation Fangyin Wei Arash Vahdat Francis Williams Zan Gojcic Or Litany Sanja Fidler Karsten Kreis DiffM 140 505 0 12 Oct 2022
Autoregressive 3D Shape Generation via Canonical Mapping A. Cheng Xueting Li Sifei Liu Min Sun Ming-Hsuan Yang 3DPC 80 41 0 05 Apr 2022
AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation Paritosh Mittal Y. Cheng Maneesh Singh Shubham Tulsiani 69 229 0 17 Mar 2022
Autoregressive Image Generation using Residual Quantization Doyup Lee Chiheon Kim Saehoon Kim Minsu Cho Wook-Shin Han VGen 271 375 0 03 Mar 2022
PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling Hao Liu Hui Yuan Junhui Hou R. Hamzaoui Wei Gao 3DPC 57 83 0 02 Mar 2022
MaskGIT: Masked Generative Image Transformer Huiwen Chang Han Zhang Lu Jiang Ce Liu William T. Freeman ViT 153 695 0 08 Feb 2022
Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling Wanquan Feng Jin Li Hongrui Cai Xiaonan Luo Juyong Zhang 3DPC 70 68 0 08 Dec 2021
PU-Transformer: Point Cloud Upsampling Transformer Shi Qiu Saeed Anwar Nick Barnes 3DPC ViT 76 51 0 24 Nov 2021
Point Cloud Upsampling via Disentangled Refinement Ruihui Li Xianzhi Li Pheng-Ann Heng Chi-Wing Fu 3DPC 123 126 0 09 Jun 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 267 748 0 02 Mar 2021
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning Zhaowei Cai Avinash Ravichandran Subhransu Maji Charless C. Fowlkes Zhuowen Tu Stefano Soatto 97 120 0 21 Jan 2021
Deep Magnification-Flexible Upsampling over 3D Point Clouds Y. Qian Junhui Hou Sam Kwong Ying He 3DPC 67 45 0 25 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 289 7,469 0 06 Oct 2020
Learning Gradient Fields for Shape Generation Ruojin Cai Guandao Yang Hadar Averbuch-Elor Jinwei Gu Serge J. Belongie Noah Snavely B. Hariharan 3DPC 116 286 0 14 Aug 2020
Discrete Point Flow Networks for Efficient Point Cloud Generation Roman Klokov Edmond Boyer Jakob Verbeek 3DPC 68 107 0 20 Jul 2020
PF-Net: Point Fractal Network for 3D Point Cloud Completion Zitian Huang Yikuan Yu Jiawen Xu Feng Ni Xinyi Le 3DPC 103 359 0 01 Mar 2020
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling Y. Qian Junhui Hou Sam Kwong Ying He 3DPC 74 117 0 24 Feb 2020
Point-Voxel CNN for Efficient 3D Deep Learning Zhijian Liu Haotian Tang Chengyue Wu Song Han 3DPC 130 674 0 08 Jul 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming-Yuan Liu Serge J. Belongie Bharath Hariharan 3DPC 101 671 0 28 Jun 2019
Learning Descriptor Networks for 3D Shape Synthesis and Analysis Jianwen Xie Zilong Zheng Ruiqi Gao Wenguan Wang Song-Chun Zhu Ying Nian Wu GAN 3DV 73 145 0 02 Apr 2018
PU-Net: Point Cloud Upsampling Network Lequan Yu Xianzhi Li Chi-Wing Fu Daniel Cohen-Or Pheng-Ann Heng 3DPC 80 578 0 21 Jan 2018
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 175 405 0 20 Oct 2016