"face_restoration": true, "face_restoration_model": "GFPGAN", "code_former_weight": 0.5, "face_restoration_unload": false, "auto_launch_browser": "Local", "enable_console_prompts": false, "show_warnings": false, "show_gradio_deprecation_warnings": true, ...
Run GFPGAN created by tencentarc, the #1 AI model for Practical Face Restoration. Restore old photos or AI generated faces with GFPGAN.
✅ We provide an updated model without colorizing faces. If GFPGAN is helpful in your photos/projects, please help to ⭐ this repo or recommend it to your friends. Thanks😊 Other recommended projects: ▶️Real-ESRGAN: A practical algorithm for general image restoration ...
GFPGAN: 基于生成式人脸先验的真实世界的盲图人脸重建 Paper :https://openaccess.thecvf.com/content/CVPR2021/papers/Wang_Towards_Real-World_Blind_Face_Restoration_With_Generative_Facial_Prior_CVPR_2021_paper.pdf Code :GitHub - TencentARC/GFPGAN: GFPGAN aims at developing Practical Algorithms for Rea...
if mode == 'gfpgan': from swap_face_fine.GFPGAN.inference_gfpgan import face_restoration driven = face_restoration([driven]) res = Image.fromarray(driven[0]) elif mode == 'gpen': from swap_face_fine.gpen.gpen_demo import init_gpen_pretrained_model, GPEN_demo self...
GFP-GAN—Face restore AItechnology is further comprised of two main elements. One element is the degradation removal module, which eliminates the degradation effect, while the other is face GAN, which improves facial features. CodeFormer—This is the most advanced face restoration technology that ca...
Blind Face Restoration LFW GFP-GAN FID 49.96 # 3 Compare Blind Face Restoration LFW GLEAN FID 53.49 # 6 Compare Blind Face Restoration LFW PSFRGAN FID 51.89 # 4 Compare Blind Face Restoration LFW DFDNet FID 62.57 # 8 Compare Blind Face Restoration WIDER CodeFormer FID 39.06 # ...
Improved-GFPGAN-Blur-Face-Restoration是一种基于改进的绿色光子生成对抗网络(GFPGAN)的模糊人脸修复系统。该系统通过使用改进的GFPGAN算法,可以有效地对模糊的人脸图像进行修复。 GFPGAN是一种基于深度学习的人脸恢复方法,它通过生成对抗网络(GAN)来学习人脸特征的分布。在Improved-GFPGAN-Blur-Face-Restoration系统中,...
Our method may show some teeth artifacts in the lip region in some examples, it can be improved via the face restoration network, i.e., GFPGAN [41]. 4.5. Limitation There are still some limitations in our system. Since 3DMMs couldn't model the...
✅ We provide an updated model without colorizing faces. If GFPGAN is helpful in your photos/projects, please help to ⭐ this repo or recommend it to your friends. Thanks😊 Other recommended projects: ▶️Real-ESRGAN: A practical algorithm for general image restoration ...