v1v2 (latest)

Diffusion Probabilistic Models for 3D Point Cloud Generation

2 March 2021

Shitong Luo

Wei Hu

3DPC

ArXiv (abs)PDF HTML Github (731★)

Papers citing "Diffusion Probabilistic Models for 3D Point Cloud Generation"

45 / 45 papers shown

Title
SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Dekai Zhu Yan Di Stefan Gavranovic Slobodan Ilic DiffM 894 0 0 23 May 2025
CLR-Wire: Towards Continuous Latent Representations for 3D Curve Wireframe Generation Xueqi Ma Yong Liu Tianlong Gao Qingming Huang Hui Huang 3DV AI4CE 107 0 0 27 Apr 2025
Hyperbolic Diffusion Recommender Model Meng Yuan Yutian Xiao Wei Chen Chu Zhao Deqing Wang Fuzhen Zhuang 117 2 0 02 Apr 2025
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion Rana Muhammad Shahroz Khan Dongwen Tang Pingzhi Li Kai Wang Tianlong Chen AI4CE 499 0 0 31 Mar 2025
DiffusedWrinkles: A Diffusion-Based Model for Data-Driven Garment Animation R. Vidaurre Elena Garces Dan Casas DiffM AI4CE 120 1 0 24 Mar 2025
PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify Zhengqing Wang Jiacheng Chen Yasutaka Furukawa 135 8 0 24 Feb 2025
PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation Ziyan Wang Sizhe Wei Xiaoming Huo Hao Wang DiffM 249 0 0 12 Feb 2025
Efficient Point Clouds Upsampling via Flow Matching Zheng Liu Chenhang He Lei Li 100 1 0 28 Jan 2025
MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Sai Tarun Inaganti Gennady Petrenko Mamba 119 1 0 25 Jan 2025
Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation Xuyi Meng Chen Wang Jiahui Lei Kostas Daniilidis Jiatao Gu Lingjie Liu 3DGS 85 1 0 10 Jan 2025
Map Imagination Like Blind Humans: Group Diffusion Model for Robotic Map Generation Qijin Song Weibang Bai 145 1 0 22 Dec 2024
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation Quan Dao Hao Phung T. Dao Dimitris Metaxas Anh Tran 162 1 0 22 Dec 2024
LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Hongjie Wang Chih-Yao Ma Yen-Cheng Liu Ji Hou Tao Xu ... Peizhao Zhang Tingbo Hou Peter Vajda N. Jha Xiaoliang Dai LMTD VGen VLM DiffM 166 11 0 13 Dec 2024
Don't Mesh with Me: Generating Constructive Solid Geometry Instead of Meshes by Fine-Tuning a Code-Generation LLM Maximilian Mews Ansar Aynetdinov Vivian Schiller Peter Eisert Alan Akbik 3DV AI4CE 467 0 0 22 Nov 2024
A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts Jiaxin Lu Yongqing Liang Huijun Han Jiacheng Hua Junfeng Jiang Xin Li Qixing Huang 3DV 101 2 0 18 Oct 2024
LT3SD: Latent Trees for 3D Scene Diffusion Quan Meng Lei Li Matthias Nießner Angela Dai 143 14 0 12 Sep 2024
Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones Carlos Plou Pablo Pueyo Ruben Martinez-Cantin Mac Schwager Ana C. Murillo Eduardo Montijano 238 0 0 28 Aug 2024
Atlas Gaussians Diffusion for 3D Generation Haitao Yang Yuan Dong Hanwen Jiang Dejia Xu Georgios Pavlakos Qixing Huang 3DGS 158 3 0 23 Aug 2024
Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation Xiang Gao Zhengbo Xu Junhan Zhao Jiaying Liu DiffM 84 8 0 03 Jul 2024
Learning to Discretize Denoising Diffusion ODEs Vinh Tong Hoang Trung-Dung Anji Liu Guy Van den Broeck Mathias Niepert DiffM 125 6 0 24 May 2024
Images that Sound: Composing Images and Sounds on a Single Canvas Ziyang Chen Daniel Geng Andrew Owens DiffM 119 9 0 20 May 2024
Large Language Model Agent as a Mechanical Designer Yayati Jadhav A. Farimani AI4CE LLMAG 144 10 0 26 Apr 2024
Explore In-Context Segmentation via Latent Diffusion Models Chaoyang Wang Xiangtai Li Henghui Ding Lu Qi Jiangning Zhang Yunhai Tong Chen Change Loy Shuicheng Yan DiffM 139 7 0 14 Mar 2024
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 166 12 0 19 Oct 2023
SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image Bowen Hu Baiying Lei Sibo Qiao Hieu Pham Shuqiang Wang Michael Kwok-Po Ng 3DPC 3DV 102 0 0 22 May 2023
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
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 689 18,310 0 19 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 510 10,591 0 17 Feb 2020
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
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions Dong Wook Shu Sung Woo Park Junseok Kwon 3DPC 86 285 0 15 May 2019
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention Yongbin Sun Yue Wang Ziwei Liu J. Siegel Sanjay E. Sarma 3DPC 61 195 0 12 Oct 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 154 881 0 02 Oct 2018
Multiresolution Tree Networks for 3D Point Cloud Processing Matheus Gadelha Rui Wang Subhransu Maji 3DV 3DPC 70 255 0 10 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 434 5,157 0 19 Jun 2018
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DV 144 1,184 0 15 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 257 6,169 0 24 Jan 2018
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 366 11,142 0 07 Jun 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 493 14,360 0 02 Dec 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 152 676 0 08 Nov 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 275 3,719 0 26 May 2016
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 172 5,538 0 09 Dec 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 318 4,196 0 21 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 306 7,016 0 12 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 465 43,341 0 11 Feb 2015