SyntaGen: 2nd Workshop on Harnessing Generative Models for Synthetic Visual Datasets
Noise Consistency Regularization for Improved Subject-Driven Image Synthesis-
[pdf]
[bibtex]@InProceedings{Ni_2025_CVPR, author = {Ni, Yao and Wen, Song and Koniusz, Piotr and Cherian, Anoop}, title = {Noise Consistency Regularization for Improved Subject-Driven Image Synthesis}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3116-3126} }
SVAD: From Single Image to 3D Avatar via Synthetic Data Generation with Video Diffusion and Data Augmentation-
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[supp]
[arXiv]
[bibtex]@InProceedings{Choi_2025_CVPR, author = {Choi, Yonwoo}, title = {SVAD: From Single Image to 3D Avatar via Synthetic Data Generation with Video Diffusion and Data Augmentation}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3137-3147} }
Eyes Tell the Truth: GazeVal Highlights Shortcomings of Generative AI in Medical Imaging-
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[arXiv]
[bibtex]@InProceedings{Wong_2025_CVPR, author = {Wong, David and Wang, Bin and Durak, Gorkem and Tliba, Marouane and Chaudhari, Akshay and Chetouani, Aladine and Cetin, Ahmet Enis and Topel, Cagdas and Gennaro, Nicolo and Vendrami, Camila Lopes and Trabzonlu, Tugce Agirlar and Rahsepar, Amir Ali and Perronne, Laetitia and Antalek, Matthew and Ozturk, Onural and Okur, Gokcan and Gordon, Andrew C and Pyrros, Ayis and Miller, Frank H and Borhani, Amir and Savas, Hatice and Hart, Eric and Torigian, Drew and udupa, Jayaram K and Krupinski, Elizabeth and Bagci, Ulas}, title = {Eyes Tell the Truth: GazeVal Highlights Shortcomings of Generative AI in Medical Imaging}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3167-3175} }
AnomalyHybrid: A Domain-agnostic Generative Framework for General Anomaly Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{ZHAO_2025_CVPR, author = {ZHAO, YING}, title = {AnomalyHybrid: A Domain-agnostic Generative Framework for General Anomaly Detection}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3127-3136} }
NeIn: Telling What You Don't Want-
[pdf]
[supp]
[bibtex]@InProceedings{Bui_2025_CVPR, author = {Bui, Nhat-Tan and Hoang, Dinh-Hieu and Trinh, Quoc-Huy and Tran, Minh-Triet and Nguyen, Truong and Gauch, Susan}, title = {NeIn: Telling What You Don't Want}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3107-3115} }
good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval-
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[supp]
[arXiv]
[bibtex]@InProceedings{Kolouju_2025_CVPR, author = {Kolouju, Pranavi and Xing, Eric and Pless, Robert and Jacobs, Nathan and Stylianou, Abby}, title = {good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3148-3157} }
Syn3DTxt: Embedding 3D Cues for Scene Text Generation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hsiung_2025_CVPR, author = {Hsiung, Li-Syun and Tu, Jun-Kai and Chu, Kuan-Wu and Chiu, Yu-Hsuan and Peng, Yan-Tsung and Chung, Sheng-Luen and Hsu, Gee-Sern}, title = {Syn3DTxt: Embedding 3D Cues for Scene Text Generation}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3158-3166} }