On the Noise Scheduling for Generating Plausible Designs with Diffusion
Models

On the Noise Scheduling for Generating Plausible Designs with Diffusion Models

19 November 2023

Thomas Bäck

Papers citing "On the Noise Scheduling for Generating Plausible Designs with Diffusion Models"

11 / 11 papers shown

Title
GeoBiked: A Dataset with Geometric Features and Automated Labeling Techniques to Enable Deep Generative Models in Engineering Design Phillip Mueller Sebastian Mueller Lars Mikelsons 37 2 0 25 Sep 2024
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception Phillip Mueller Lars Mikelsons AI4CE 54 2 0 15 Jul 2024
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 284 1,385 0 24 Jan 2022
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter Amin Heyrani Nobari Faez Ahmed 3DV AI4CE 43 177 0 21 Oct 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 115 3,599 0 18 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 234 6,293 0 26 Nov 2020
Airfoil Design Parameterization and Optimization using Bézier Generative Adversarial Networks Wei Chen Kevin N. Chiu M. Fuge 19 82 0 21 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 104 1,135 0 16 Jun 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 477 10,466 0 12 Dec 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 188 11,610 0 11 Jan 2018
One weird trick for parallelizing convolutional neural networks A. Krizhevsky GNN 50 1,297 0 23 Apr 2014

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