Скачать с ютуб Free Human Face Restoration Tool 2022 CodeFormer в хорошем качестве

Free Human Face Restoration Tool 2022 CodeFormer

In this video, learn blind face restoration is a highly ill-posed problem that often requires auxiliary guidance. I propose a Transformer-based prediction network, named CodeFormer, to model global composition and context of the low-quality faces for code prediction, enabling the discovery of natural faces that closely approximate the target faces even when the inputs are severely degraded. Break down every option and secret of tool has to offer so that you can choose the one that works best for you. Make sure to subscribe my channel for more tutorials. Thanks for watching PS Tutelar. 🔴 RECOMMENDED VIDEOS/PLAYLISTS    / @pstutelar   🔴 ** BE MY FRIEND ** ✅ Tumblr: https://www.tumblr.com/blog/photoshop... ✅ Twitter:   / atifsaad   ✅ Facebook:   / atif.saad.10   ✅ Reddit:   / atifsaad80   ✅ LinkedIn:   / recent-activity   ✅ Instagram:   / qaiser_62   💡 TOPICS IN THIS VIDEO 💡 Free Human Face Restoration Tool 2022 CodeFormer 🔎 HASHTAGS 🔎 #FreeHumanFaceRestorationTool2022CodeFormer #PSTutelar #Youtubegrowth 🎯 SUBSCRIBE to get more amazing Photoshop tutorials. ------------------------------------------------------------------------------------------------------------ First learn a discrete codebook and a decoder to store high-quality visual parts of face images via self-reconstruction learning. With fixed codebook and decoder, then introduce a Transformer module for code sequence prediction, modeling the global face composition of low- quality inputs. Besides, a controllable feature transformation module is used to control the information flow from LQ encoder to decoder. Note that this connection is optional, which can be disabled to avoid adverse effects when inputs are severely degraded, and one can adjust a scalar weight w to trade between quality and fidelity.