Learning Gradient Fields for Shape Generation

14 August 2020

Papers citing "Learning Gradient Fields for Shape Generation"

27 / 77 papers shown

Title
One-shot Generative Prior in Hankel-k-space for Parallel Imaging Reconstruction Hong Peng Chenbo Jiang Jing Cheng Minghui Zhang Shanshan Wang Dong Liang Qiegen Liu DiffM MedIm 44 17 0 15 Aug 2022
Learning to Generate 3D Shapes from a Single Example Rundi Wu Changxi Zheng GAN 3DV 14 34 0 05 Aug 2022
CSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completion Zhe Zhu Liangliang Nan H. Xie Honghua Chen Mingqiang Wei Jun Wang J. Qin 3DPC 19 25 0 01 Aug 2022
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud D. Zimny Joanna Waczyñska Tomasz Trzciñski P. Spurek 32 18 0 02 Jun 2022
Score-Based Generative Models Detect Manifolds Jakiw Pidstrigach DiffM 27 71 0 02 Jun 2022
Autoregressive 3D Shape Generation via Canonical Mapping A. Cheng Xueting Li Sifei Liu Min Sun Ming Yang 3DPC 45 39 0 05 Apr 2022
WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation Yingzhi Tang Y. Qian Qijian Zhang Yiming Zeng Junhui Hou Xuefei Zhe 3DPC 30 16 0 24 Mar 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo Seul Lee Sung Ju Hwang DiffM 22 210 0 05 Feb 2022
POCO: Point Convolution for Surface Reconstruction Alexandre Boulch Renaud Marlet 3DPC 3DV 34 125 0 05 Jan 2022
High-Fidelity Point Cloud Completion with Low-Resolution Recovery and Noise-Aware Upsampling Ren Li Bo Wang C. Li Ling-Xiao Zhang Lin Gao 27 8 0 21 Dec 2021
Diffusion Normalizing Flow Qinsheng Zhang Yongxin Chen DiffM 23 87 0 14 Oct 2021
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation Shidi Li Miaomiao Liu Christian J. Walder 3DPC 54 28 0 13 Oct 2021
Score-Based Point Cloud Denoising Shitong Luo Wei Hu DiffM 30 156 0 23 Jul 2021
Particle Cloud Generation with Message Passing Generative Adversarial Networks Raghav Kansal Javier Mauricio Duarte Haoran Su B. Orzari T. Tomei M. Pierini M. Touranakou J. Vlimant Dimitrios Gunopulos 24 75 0 22 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 16 658 0 10 Jun 2021
Learning to Efficiently Sample from Diffusion Probabilistic Models Daniel Watson Jonathan Ho Mohammad Norouzi William Chan DiffM 42 134 0 07 Jun 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching Chin-Wei Huang Jae Hyun Lim Aaron Courville DiffM 38 186 0 05 Jun 2021
Diffusion-Based Representation Learning K. Abstreiter Sarthak Mittal Stefan Bauer Bernhard Schölkopf Arash Mehrjou DiffM 30 56 0 29 May 2021
DeepCAD: A Deep Generative Network for Computer-Aided Design Models Rundi Wu Chang Xiao Changxi Zheng 3DPC 24 160 0 20 May 2021
3D Shape Generation and Completion through Point-Voxel Diffusion Linqi Zhou Yilun Du Jiajun Wu DiffM 26 510 0 08 Apr 2021
Learning to Generate 3D Shapes with Generative Cellular Automata Dongsu Zhang Changwoon Choi Jeonghwan Kim Y. Kim 23 24 0 06 Mar 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 64 623 0 22 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 24 241 0 09 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 19 6,064 0 26 Nov 2020
Dynamic Plane Convolutional Occupancy Networks S. Lionar D. Emtsev Dusan Svilarkovic Songyou Peng 3DPC 3DV 22 37 0 11 Nov 2020
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 171 1,940 0 24 Oct 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,547 0 25 Jan 2016