Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
Summary
Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts is a scholarly article[1].
Key Facts
Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts. Retrieved May 24, 2026, from https://4ort.xyz/entity/training-generative-image-super-resolution-models-by-wavelet-domain-losses-enables-better-control-of-artifacts
MLA“Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/training-generative-image-super-resolution-models-by-wavelet-domain-losses-enables-better-control-of-artifacts.
BibTeX@misc{4ortxyz_training-generative-image-super-resolution-models-by-wavelet-domain-losses-enables-better-control-of-artifacts_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts}}, year = {2026}, url = {https://4ort.xyz/entity/training-generative-image-super-resolution-models-by-wavelet-domain-losses-enables-better-control-of-artifacts}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts — https://4ort.xyz/entity/training-generative-image-super-resolution-models-by-wavelet-domain-losses-enables-better-control-of-artifacts (retrieved 2026-05-24)
