Post
3047
🚀💇♂️🔥 New Research Alert (Avatars Collection)! 🔥💇♀️🚀
📄 Title: HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
📝 Description: HairFastGAN is a fast, encoder-based approach to realistic and robust hair transfer that operates in the FS latent space of StyleGAN and includes enhanced in-painting and improved encoders for better alignment, color transfer, and post-processing.
👥 Authors: Maxim Nikolaev, Mikhail Kuznetsov, Dmitry Vetrov, and Aibek Alanov
🔗 Paper: HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach (2404.01094)
📁 Repository: https://github.com/AIRI-Institute/HairFastGAN
🤗 Demo: multimodalart/hairfastgan
🔥 Model 🤖: AIRI-Institute/HairFastGAN
📚 More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin
🚀 Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
🔍 Keywords: #HairFastGAN #StyleGAN #VirtualTryOn #HairTransfer #AIHairStyling #GenerativeModels #ComputerVision #ImageProcessing #DeepLearning
📄 Title: HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
📝 Description: HairFastGAN is a fast, encoder-based approach to realistic and robust hair transfer that operates in the FS latent space of StyleGAN and includes enhanced in-painting and improved encoders for better alignment, color transfer, and post-processing.
👥 Authors: Maxim Nikolaev, Mikhail Kuznetsov, Dmitry Vetrov, and Aibek Alanov
🔗 Paper: HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach (2404.01094)
📁 Repository: https://github.com/AIRI-Institute/HairFastGAN
🤗 Demo: multimodalart/hairfastgan
🔥 Model 🤖: AIRI-Institute/HairFastGAN
📚 More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin
🚀 Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
🔍 Keywords: #HairFastGAN #StyleGAN #VirtualTryOn #HairTransfer #AIHairStyling #GenerativeModels #ComputerVision #ImageProcessing #DeepLearning