Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data

Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data

2 January 2023

Papers citing "Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data"

17 / 17 papers shown

Title
Towards Generating Realistic 3D Semantic Training Data for Autonomous Driving Lucas Nunes Rodrigo Marcuzzi Jens Behley C. Stachniss 3DPC 76 0 0 27 Mar 2025
DreamTexture: Shape from Virtual Texture with Analysis by Augmentation Ananta R. Bhattarai Xingzhe He Alla Sheffer Helge Rhodin DiffM MDE 62 0 0 20 Mar 2025
NuiScene: Exploring Efficient Generation of Unbounded Outdoor Scenes Han-Hung Lee Qinghong Han Angel X. Chang 77 0 0 20 Mar 2025
Controllable 3D Outdoor Scene Generation via Scene Graphs Yuheng Liu Xinke Li Yuning Zhang Lu Qi Xin Li Wenping Wang Chongshou Li Xueting Li Ming Yang 3DV 68 0 0 10 Mar 2025
Map Imagination Like Blind Humans: Group Diffusion Model for Robotic Map Generation Qijin Song Weibang Bai 90 1 0 22 Dec 2024
Simultaneous Diffusion Sampling for Conditional LiDAR Generation Ryan Faulkner Luke Haub Simon Ratcliffe Anh-Dzung Doan Ian Reid Tat-Jun Chin 19 0 0 15 Oct 2024
LT3SD: Latent Trees for 3D Scene Diffusion Quan Meng Lei Li Matthias Nießner Angela Dai 91 10 0 12 Sep 2024
Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion Lucas Nunes Rodrigo Marcuzzi Benedikt Mersch Jens Behley C. Stachniss DiffM 20 1 0 20 Mar 2024
SemCity: Semantic Scene Generation with Triplane Diffusion Jumin Lee Sebin Lee Changho Jo Woobin Im Juhyeong Seon Sung-eui Yoon DiffM 24 17 0 12 Mar 2024
Pyramid Diffusion for Fine 3D Large Scene Generation Yuheng Liu Xinke Li Xueting Li Lu Qi Chongshou Li Ming-Hsuan Yang 47 15 0 20 Nov 2023
Towards Open-World Co-Salient Object Detection with Generative Uncertainty-aware Group Selective Exchange-Masking Yang Wu Shenglong Hu Huihui Song Kaihua Zhang Bo Liu Dong Liu 18 0 0 16 Oct 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 27 50 0 07 Jun 2023
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 203 1,330 0 24 Jan 2022
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 167 711 0 02 Mar 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 202 392 0 10 Feb 2021
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016