Point Cloud Resampling with Learnable Heat Diffusion

Point Cloud Resampling with Learnable Heat Diffusion

21 November 2024

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Papers citing "Point Cloud Resampling with Learnable Heat Diffusion"

11 / 11 papers shown

Title
Conditional Variational Diffusion Models Gabriel della Maggiora L. Croquevielle Nikita Desphande Harry Horsley Thomas Heinis Artur Yakimovich DiffM 37 3 0 04 Dec 2023
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise Arpit Bansal Eitan Borgnia Hong-Min Chu Jie S. Li Hamid Kazemi Furong Huang Micah Goldblum Jonas Geiping Tom Goldstein VLM DiffM 78 278 0 19 Aug 2022
Generative Modelling With Inverse Heat Dissipation Severi Rissanen Markus Heinonen Arno Solin DiffM 82 117 0 21 Jun 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
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 198 1,135 0 01 Jul 2021
Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud Shuquan Ye Dongdong Chen Songfang Han Bo Liu Jing Liao 3DPC 57 81 0 08 Feb 2021
Differentiable Manifold Reconstruction for Point Cloud Denoising Shitong Luo Wei Hu 3DPC 64 133 0 27 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 700 18,310 0 19 Jun 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
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 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

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