SyntaGen: Harnessing Generative Models for Synthetic Visual Datasets
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Singh_2024_CVPR, author = {Singh, Krishnakant and Navaratnam, Thanush and Holmer, Jannik and Schaub-Meyer, Simone and Roth, Stefan}, title = {Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2505-2515} }
RePoseDM: Recurrent Pose Alignment and Gradient Guidance for Pose Guided Image Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Khandelwal_2024_CVPR, author = {Khandelwal, Anant}, title = {RePoseDM: Recurrent Pose Alignment and Gradient Guidance for Pose Guided Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2495-2504} }