A curated collection of papers on portrait style transfer
[CVPR 2023] Collaborative Diffusion
FaceFusion is an AI-powered tool that delivers high-quality face enhancements and realistic face swaps. Using models like GFPGAN, Real-ESRGAN, and InsightFace, it’s perfect for film studios, content creators, and designers seeking efficient and affordable visual effects if developed fully.
[CVPR 2025] Official Implementation of the Paper "Enhancing Facial Privacy Protection via Weakening Diffusion Purification"
A caricature generation model from NIR facial images
This is the official implementation of "Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors", which is accepted at ICLR2025.
Advance Blur is a sophisticated way to add "Vance Blurring" to your images in order to remove identifiable metadata and faces so that they can be safely posted publicly. Any similarities to actual persons, living or dead, are purely coincidental
[NeurIPS 2024] The official implementation of HairFastGAN. A framework for virtual hairstyle fitting.
a simple pipeline for face editing
Customized fork of Rope Deepfake software featuring live streaming capabilities and support for Deepfacelive models
Official Implementation for "The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing"
InterfaceGAN++: Exploring the limits of InterfaceGAN. In this repository, we propose an approach, termed as InterFaceGAN++, for semantic face editing based on the work from Shen et al. Specifically, we leverage the ideas from the previous work, by applying the method for new face attributes, and also for StyleGAN3. We qualitatively explain that …
The code includes an iterative editing process for automatic control and instance-based boundary generation, enabling controlled attribute modifications in generated faces.
A single jupyter notebook to reimplement sd-face-editor
Various applications based on Stylegan2 Style mixing that can be inference on cpu.
AttGAN PyTorch Arbitrary Facial Attribute Editing: Only Change What You Want
The project focuses on manipulating facial features by adjusting the latent vectors within StyleGAN's architecture. Our objective is to achieve precise modifications in age, gender, and facial expressions in generated images.
(CVPR 2023) E4S: Fine-grained Face Swapping via Regional GAN Inversion
[ICCV 2023] StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces
[ECCV 2020] "Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches"
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