Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape

Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape

24 May 2023

Carl Vondrick

Papers citing "Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape"

8 / 8 papers shown

Title
CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis Gyeongjin Kang Younggeun Lee Seungjun Oh Eunbyung Park VGen 27 1 0 07 Apr 2024
Improving Tuning-Free Real Image Editing with Proximal Guidance Ligong Han Song Wen Qi Chen Zhixing Zhang Kunpeng Song ... Qilong Zhangli Jindong Jiang Zhaoyang Xia Akash Srivastava Dimitris N. Metaxas DiffM 22 55 0 08 Jun 2023
Shap-E: Generating Conditional 3D Implicit Functions Heewoo Jun Alex Nichol DiffM 192 300 0 03 May 2023
Humans as Light Bulbs: 3D Human Reconstruction from Thermal Reflection Ruoshi Liu Carl Vondrick 3DH 29 13 0 02 May 2023
3DGen: Triplane Latent Diffusion for Textured Mesh Generation Anchit Gupta Wenhan Xiong Yixin Nie Anchit Gupta Barlas Oğuz DiffM 96 156 0 09 Mar 2023
Diverse Generation from a Single Video Made Possible Niv Haim Ben Feinstein Niv Granot Assaf Shocher Shai Bagon Tali Dekel Michal Irani DiffM VGen 34 18 0 17 Sep 2021
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 212 968 0 10 Mar 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 164 1,926 0 24 Oct 2016