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CONFORM: Contrast is All You Need For High-Fidelity Text-to..:
, In:
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Salih Meral, Tuna Han
;
Simsar, Enis
;
Tombari, Federico
. - p. 9005-9014 , 2024
Link:
https://doi.org/10.1109/CVPR52733.2024.00860
RT T1 <cTitle>2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10655387&Exemplar=1&LAN=DE A1 Salih Meral, Tuna Han A1 Simsar, Enis A1 Tombari, Federico A1 Yanardag, Pinar YR 2024 SN 2575-7075 K1 Computer vision K1 Source coding K1 Computational modeling K1 Semantics K1 Text to image K1 Benchmark testing K1 Diffusion models K1 Text-to-image diffusion models K1 Generative AI K1 Contrastive learning K1 Stable Diffusion K1 Semantic fidelity SP 9005 OP 9014 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52733.2024.00860 DO https://doi.org/10.1109/CVPR52733.2024.00860 SF ELIB - SuUB Bremen
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