Facial Inpainting

21 papers with code • 3 benchmarks • 4 datasets

Facial inpainting (or face completion) is the task of generating plausible facial structures for missing pixels in a face image.

( Image credit: SymmFCNet )

Libraries

Use these libraries to find Facial Inpainting models and implementations

E2F-Net: Eyes-to-Face Inpainting via StyleGAN Latent Space

fatemejamalii/e2f-net 18 Mar 2024

We further improve the StyleGAN output to find the optimal code in the latent space using a new optimization for GAN inversion technique.

0
18 Mar 2024

Compensation Sampling for Improved Convergence in Diffusion Models

hotfinda/Compensation-sampling 11 Dec 2023

We argue that the denoising process is crucially limited by an accumulation of the reconstruction error due to an initial inaccurate reconstruction of the target data.

1
11 Dec 2023

E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion

e4s2024/e4s2024 23 Oct 2023

Based on this disentanglement, face swapping can be simplified as style and mask swapping.

98
23 Oct 2023

PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting

LonglongaaaGo/EXE-GAN ICCV 2023

By using ~40 reference images, PATMAT creates anchor points in MAT's style module, and tunes the model using the fixed anchors to adapt the model to a new face identity.

40
12 Apr 2023

Reference-Guided Large-Scale Face Inpainting with Identity and Texture Control

LonglongaaaGo/EXE-GAN 13 Mar 2023

To introduce strong control for face inpainting, we propose a novel reference-guided face inpainting method that fills the large-scale missing region with identity and texture control guided by a reference face image.

40
13 Mar 2023

Reference Guided Image Inpainting using Facial Attributes

Stillrot/RGINP 19 Jan 2023

Image inpainting is a technique of completing missing pixels such as occluded region restoration, distracting objects removal, and facial completion.

19
19 Jan 2023

SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components Distributions

mohammadrezanaderi4/sfi-swin 9 Jan 2023

None of the powerful existing models can fill out the missing parts of an image while considering the symmetry and homogeneity of the picture.

11
09 Jan 2023

Conffusion: Confidence Intervals for Diffusion Models

eliahuhorwitz/conffusion 17 Nov 2022

Diffusion models have become the go-to method for many generative tasks, particularly for image-to-image generation tasks such as super-resolution and inpainting.

128
17 Nov 2022

Masked Face Inpainting Through Residual Attention UNet

mdhosen/mask-face-inpainting-using-residual-attention-unet 19 Sep 2022

Realistic image restoration with high texture areas such as removing face masks is challenging.

6
19 Sep 2022

HiMFR: A Hybrid Masked Face Recognition Through Face Inpainting

mdhosen/himfr 19 Sep 2022

Inspired by the recent image inpainting methods, we propose an end-to-end hybrid masked face recognition system, namely HiMFR, consisting of three significant parts: masked face detector, face inpainting, and face recognition.

2
19 Sep 2022