Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance
Generation

Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation

21 December 2023

Philipp Schroppel

Christopher Wewer

Thomas Brox

Papers citing "Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation"

7 / 7 papers shown

Title
Gaussian Scenes: Pose-Free Sparse-View Scene Reconstruction using Depth-Enhanced Diffusion Priors Soumava Paul Prakhar Kaushik Alan L. Yuille 3DGS DiffM 90 0 0 24 Nov 2024
Shap-E: Generating Conditional 3D Implicit Functions Heewoo Jun Alex Nichol DiffM 184 300 0 03 May 2023
RealFusion: 360° Reconstruction of Any Object from a Single Image Luke Melas-Kyriazi Christian Rupprecht Iro Laina Andrea Vedaldi 85 288 0 21 Feb 2023
From data to functa: Your data point is a function and you can treat it like one Emilien Dupont Hyunjik Kim S. M. Ali Eslami Danilo Jimenez Rezende Dan Rosenbaum TDI 3DPC 160 136 0 28 Jan 2022
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