Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception

15 July 2024

Papers citing "Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception"

7 / 7 papers shown

Title
Shap-E: Generating Conditional 3D Implicit Functions Heewoo Jun Alex Nichol DiffM 181 300 0 03 May 2023
MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer Shanghua Gao Pan Zhou Mingg-Ming Cheng Shuicheng Yan DiffM 129 80 0 25 Mar 2023
Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior Junshu Tang Tengfei Wang Bo Zhang Ting Zhang Ran Yi Lizhuang Ma Dong Chen DiffM 179 307 0 24 Mar 2023
Muse: Text-To-Image Generation via Masked Generative Transformers Huiwen Chang Han Zhang Jarred Barber AJ Maschinot José Lezama ... Kevin Patrick Murphy William T. Freeman Michael Rubinstein Yuanzhen Li Dilip Krishnan DiffM 197 515 0 02 Jan 2023
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
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 203 19,191 0 21 Nov 2016