Recursions-Are-All-You-Need VS GFPGAN

The use of deep unfolding networks in compressive sensing (CS) has seen wide success as they provide both simplicity and interpretability. However, since most deep unfolding networks are iterative, this incurs significant redundancies in the network. In this work, we propose a novel recursion-based framework to enhance the efficiency of deep unfolding models. First, recursions are used to effectively eliminate the redundancies in deep unfolding networks. Secondly, we randomize the number of recursions during training to decrease the overall training time. Finally, to effectively utilize the power of recursions, we introduce a learnable unit to modulate the features of the model based on both the total number of iterations and the current iteration index. To evaluate the proposed framework, we apply it to both ISTA-Net+ and COAST. Extensive testing shows that our proposed framework allows the network to cut down as much as 75% of its learnable parameters while mostly maintaining its performance, and at the same time, it cuts around 21% and 42% from the training time for ISTA-Net+ and COAST respectively. Moreover, when presented with a limited training dataset, the recursive models match or even outperform their respective non-recursive baseline. Codes and pretrained models are available at https://github.com/Rawwad-Alhejaili/Recursions-Are-All-You-Need .

Mainly as the base model. https://insightface.ai/ There was some post processing done to further improve quality. https://github.com/TencentARC/GFPGAN

Check out GFOGAN https://github.com/TencentARC/GFPGAN

It's not animating really, just lip sync and face restoration, here I used: https://github.com/Rudrabha/Wav2Lip and https://github.com/TencentARC/GFPGAN respectively.

Real-ESRGAN/GFPGAN https://github.com/xinntao/Real-ESRGAN (Real-ESRAN - Upscale images, facial restoration with GFPGAN setting) https://github.com/TencentARC/GFPGAN (GFPGAN - Facial restoration and Upscale) -------MATTE AND COMPOSITE--------

2.install it using pip install git+https://github.com/TencentARC/GFPGAN.git@8d2447a2d918f8eba5a4a01463fd48e45126a379

Cloning https://github.com/TencentARC/GFPGAN.git (to revision 8d2447a2d918f8eba5a4a01463fd48e45126a379) to /private/var/folders/qw/_kkcnr2s59n3kplbwxsk_k2c0000gn/T/pip-req-build-bgantjtl

All I have done is add Stable Diffusion Checkpoints and the GFPGAN checkpoints to C:\Program Files (x86)\stable-diffusion-webui-master\stable-diffusion-webui-master\models\Stable-diffusion.

Where you would find its commands here.