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FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation

20 November 2023

Papers citing "FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation"

49 / 49 papers shown

Title
InstructPix2Pix: Learning to Follow Image Editing Instructions Tim Brooks Aleksander Holynski Alexei A. Efros DiffM 207 1,830 0 17 Nov 2022
LION: Latent Point Diffusion Models for 3D Shape Generation Fangyin Wei Arash Vahdat Francis Williams Zan Gojcic Or Litany Sanja Fidler Karsten Kreis DiffM 135 505 0 12 Oct 2022
DreamFusion: Text-to-3D using 2D Diffusion Ben Poole Ajay Jain Jonathan T. Barron B. Mildenhall 167 2,433 0 29 Sep 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 413 6,897 0 13 Apr 2022
Autoregressive Image Generation using Residual Quantization Doyup Lee Chiheon Kim Saehoon Kim Minsu Cho Wook-Shin Han VGen 269 375 0 03 Mar 2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis Hanieh Naderi Kimia Noorbakhsh Arian Etemadi S. Kasaei AAML 55 13 0 23 Feb 2022
DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs Songxiang Liu Dan Su Dong Yu DiffM 122 67 0 28 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar DiffM 74 118 0 02 Jan 2022
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 121 433 0 30 Nov 2021
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Yang Song Liyue Shen Lei Xing Stefano Ermon DiffM SyDa OffRL MedIm 99 532 0 15 Nov 2021
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation Shidi Li Miaomiao Liu Christian J. Walder 3DPC 93 28 0 13 Oct 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 181 1,135 0 01 Jul 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 118 121 0 12 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 67 686 0 10 Jun 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 166 1,235 0 30 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 250 7,933 0 11 May 2021
Diff-TTS: A Denoising Diffusion Model for Text-to-Speech Myeonghun Jeong Hyeongju Kim Sung Jun Cheon Byoung Jin Choi N. Kim DiffM 63 196 0 03 Apr 2021
A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection Keshigeyan Chandrasegaran Ngoc-Trung Tran Ngai-Man Cheung 78 83 0 31 Mar 2021
Symbolic Music Generation with Diffusion Models Gautam Mittal Jesse Engel Curtis Hawthorne Ian Simon MGen DiffM 95 193 0 30 Mar 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 262 747 0 02 Mar 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 204 682 0 28 Dec 2020
Focal Frequency Loss for Image Reconstruction and Synthesis Liming Jiang Bo Dai Wayne Wu Chen Change Loy 97 285 0 23 Dec 2020
Learning Gradient Fields for Shape Generation Ruojin Cai Guandao Yang Hadar Averbuch-Elor Jinwei Gu Serge J. Belongie Noah Snavely B. Hariharan 3DPC 112 286 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
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model Steffen Czolbe Oswin Krause Ingemar Cox Christian Igel GAN 35 49 0 26 Jun 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 124 2,440 0 18 Jun 2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis B. Mildenhall Pratul P. Srinivasan Matthew Tancik Jonathan T. Barron R. Ramamoorthi Ren Ng 129 2,592 0 19 Mar 2020
Composing Normalizing Flows for Inverse Problems Jay Whang Erik M. Lindgren A. Dimakis TPM 96 51 0 26 Feb 2020
Point-Voxel CNN for Efficient 3D Deep Learning Zhijian Liu Haotian Tang Chengyue Wu Song Han 3DPC 127 674 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 101 670 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 84 285 0 15 May 2019
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks Zhi-Qin John Xu Yaoyu Zhang Yaoyu Zhang Yan Xiao Zheng Ma 124 519 0 19 Jan 2019
Point Cloud GAN Chun-Liang Li Manzil Zaheer Yang Zhang Barnabás Póczós Ruslan Salakhutdinov 3DPC 84 212 0 13 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
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 300 3,138 0 09 Jul 2018
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 154 1,454 0 22 Jun 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 417 5,156 0 19 Jun 2018
Distribution Matching in Variational Inference Mihaela Rosca Balaji Lakshminarayanan S. Mohamed GAN CML DRL 66 98 0 19 Feb 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
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image Andrey Kurenkov Jingwei Ji Animesh Garg Viraj Mehta JunYoung Gwak Chris Choy Silvio Savarese 3DV 61 117 0 11 Aug 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 68 635 0 19 May 2017
A Point Set Generation Network for 3D Object Reconstruction from a Single Image Haoqiang Fan Hao Su Leonidas Guibas 3DPC 3DV 169 2,241 0 02 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 493 14,353 0 02 Dec 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 161 405 0 20 Oct 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 239 10,262 0 27 Mar 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 168 5,535 0 09 Dec 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 318 4,197 0 21 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 306 7,005 0 12 Mar 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013