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The rapidly evolving fields of e-commerce and metaverse continue to seek innovative approaches to enhance the consumer experience.
Dropout: A Simple Way to Prevent Neural Networks from Overfitting
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Matteo Fincato, Federico Landi, Marcella Cornia, Fabio Cesari, and Rita Cucchiara. 2021 · 2021
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Parser-free virtual try-on via distilling appearance flows. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Yuying Ge, Yibing Song, Ruimao Zhang, Chongjian Ge, Wei Liu, and Ping Luo. 2021 · 2021
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Learning Transferable Visual Models From Natural Language Supervision. In Proceedings of the International Conference on Machine Learning
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Denoising Diffusion Implicit Models. In Proceedings of the International Conference on Learning Representations
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GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models. In Proceedings of the International Conference on Machine Learning
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On Aliased Resizing and Surprising Subtleties in GAN Evaluation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Gaurav Parmar, Richard Zhang, and Jun-Yan Zhu. 2022 · 2022
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Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022
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High-Resolution Image Synthesis With Latent Diffusion Models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
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LAION-5B: An open large-scale dataset for training next generation image-text models. In Advances in Neural Information Processing Systems
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade W Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa R Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, and Jenia Jitsev. 2022 · 2022
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Pretraining is All You Need for Image-to-Image Translation
Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, and Fang Wen. 2022 · 2022
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Robust fine-tuning of zero-shot models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo Lopes, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, et al · 2022
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EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations. In Advances in Neural Information Processing Systems
Min Zhao, Fan Bao, Chongxuan Li, and Jun Zhu. 2022 · 2022
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SpaText: Spatio-Textual Representation for Controllable Image Generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Omri Avrahami, Thomas Hayes, Oran Gafni, Sonal Gupta, Yaniv Taigman, Devi Parikh, Dani Lischinski, Ohad Fried, and Xi Yin. 2023 · 2023
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Person Image Synthesis via Denoising Diffusion Model. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, and Fahad Shahbaz Khan. 2023 · 2023
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Disentangling features for fashion recommendation
Lavinia De Divitiis, Federico Becattini, Claudio Baecchi, and Alberto Del Bimbo. 2023 · 2023
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An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion. In Proceedings of the International Conference on Learning Representations
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H. Bermano, Gal Chechik, and Daniel Cohen-Or. 2023 · 2023
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Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion
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Multi-Concept Customization of Text-to-Image Diffusion. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, and Jun-Yan Zhu. 2023 · 2023
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Null-text Inversion for Editing Real Images using Guided Diffusion Models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or. 2023 · 2023
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DreamBooth: Fine Tuning Text-to-image Diffusion Models for Subject-Driven Generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman. 2023 · 2023
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OutfitTransformer: Learning Outfit Representations for Fashion Recommendation. In Proceedings of the IEEE Winter Conference on Applications of Computer Vision
Rohan Sarkar, Navaneeth Bodla, Mariya I Vasileva, Yen-Liang Lin, Anurag Beniwal, Alan Lu, and Gerard Medioni. 2023 · 2023
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Paint by Example: Exemplar-based Image Editing with Diffusion Models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, and Fang Wen. 2023 · 2023
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