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Paper Review49

[3] PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding [Paper] https://openaccess.thecvf.com//content/CVPR2024/papers/Li_PhotoMaker_Customizing_Realistic_Human_Photos_via_Stacked_ID_Embedding_CVPR_2024_paper.pdf [Github] https://github.com/TencentARC/PhotoMaker GitHub - TencentARC/PhotoMaker: PhotoMakerPhotoMaker. Contribute to TencentARC/PhotoMaker development by creating an account on GitHub.github.com  1. Introduction  바로 앞의 FaceChain과 마찬가지로 pers.. 2024. 7. 30.
[2] FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content [Paper] https://arxiv.org/pdf/2308.14256v2 [Github] https://github.com/modelscope/facechain (v 3.0.0 tag 로 들어가면 됩니다.) GitHub - modelscope/facechain: FaceChain is a deep-learning toolchain for generating your Digital-Twin.FaceChain is a deep-learning toolchain for generating your Digital-Twin. - modelscope/facechaingithub.com  Abstract  최근 personalized image generation 분야가 굉장히 이슈인데요, 이로 인해 한 인물의 .. 2024. 7. 4.
[1] Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control [Paper] https://arxiv.org/pdf/2405.12970[Github] https://github.com/FaceAdapter/Face-Adapter GitHub - FaceAdapter/Face-AdapterContribute to FaceAdapter/Face-Adapter development by creating an account on GitHub.github.com    1. Introduction   기존의 face reenactment와 swapping 은 GAN 모델을 많이 사용했습니다. 최근에는 GAN 대신 diffusion 모델을 많이 사용하는 추세인데요, 하지만 diffusion은 아래와 같은 여러 문제점이 존재합니다. - 학습이 힘들다.- 큰 pose 변화와 학습 .. 2024. 6. 12.
[10] CrossViT: Cross-Attention Multi-Scale Vision Transformer for ImageClassification [Paper] https://openaccess.thecvf.com//content/ICCV2021/papers/Chen_CrossViT_Cross-Attention_Multi-Scale_Vision_Transformer_for_Image_Classification_ICCV_2021_paper.pdf [Github] https://github.com/IBM/CrossViT GitHub - IBM/CrossViT: Official implementation of CrossViT. https://arxiv.org/abs/2103.14899 Official implementation of CrossViT. https://arxiv.org/abs/2103.14899 - GitHub - IBM/CrossViT: .. 2023. 12. 26.
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