SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)
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Updated
Jun 2, 2021 - Python
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)
Official Implementation for "HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach"
[CVPR 2023] Collaborative Diffusion
(CVPR 2023) E4S: Fine-grained Face Swapping via Regional GAN Inversion
AttGAN PyTorch Arbitrary Facial Attribute Editing: Only Change What You Want
Various applications based on Stylegan2 Style mixing that can be inference on cpu.
[ECCV 2020] "Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches"
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 …
Re-implementation of e4e that use mobilenet-v3 and stylegan2-1024p
a simple pipeline for face editing
Re-implementation of pSp that use mobilenet-v3 and stylegan2-256p
Diverse Facial Edit with StyleGAN, StyleGAN2, StyleClip with ViT, and Other Features like Background Removal and Face Swap
[ECCV 2020] Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches
The code includes an iterative editing process for automatic control and instance-based boundary generation, enabling controlled attribute modifications in generated faces.
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.
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