Universal Guidance for Diffusion Models-Reference-Cited by-同舟云学术

Universal Guidance for Diffusion Models

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Bansal Arpit¹,Chu Hong-Min¹,Schwarzschild Avi¹,Sengupta Soumyadip²,Goldblum Micah³,Geiping Jonas¹,Goldstein Tom¹

Affiliation:

1. University of Maryland

2. University of North Carolina at Chapel Hill

3. New York University

Publisher

IEEE

Link

Reference30 articles.

1. Diffwave: A versatile diffusion model for audio synthesis;kong,2020

2. Denoising diffusion restoration models;kawar,2022

3. Benchmarking detection transfer learning with vision transformers;li,2021

4. Diffusion-lm improves controllable text generation;li,2022

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2. CHDNet: Enhanced Arbitrary Style Transfer via Condition Harmony DiffusionNet;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. SceneControl: Diffusion for Controllable Traffic Scene Generation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Training-Free Layout Control with Cross-Attention Guidance;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03