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Authors
Zhang, Jialing https://orcid.org/0009-0002-4428-9216
Li, Chongxuan https://orcid.org/0000-0002-0912-9076
Wang, Dequan https://orcid.org/0000-0001-8270-8448
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Chapter History
First Online: 12 May 2025
Ethics Statement
: While our work leverages generative models to tackle inverse problems, we must be aware of dataset bias. Since our diffusion model is pre-trained on predefined data, any biases in that data could be reflected or even amplified by the model. Having been trained on biased data, the diffusion model is prone to projecting the given measurement towards these biases, potentially losing important or sensitive attributes of the input image in the process.
Conference Information
Conference Acronym: ECCV
Conference Name: European Conference on Computer Vision
Conference City: Milan
Conference Country: Italy
Conference Year: 2024
Conference Start Date: 29 September 2024
Conference End Date: 4 October 2024
Conference Number: 18
Conference ID: eccv2024
Conference URL: https://eccv2024.ecva.net/
