Presentation and Report (Extended abstract) for a selected paper created during Computer vision seminar (MA-INF 2206).
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Updated
Oct 1, 2020
Presentation and Report (Extended abstract) for a selected paper created during Computer vision seminar (MA-INF 2206).
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)
Re-implementation of pSp that use mobilenet-v3 and stylegan2-256p
Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN
Diverse Facial Edit with StyleGAN, StyleGAN2, StyleClip with ViT, and Other Features like Background Removal and Face Swap
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 …
Face attribute manipulation with GAN for automatic data augmentation or individual editing.
[SIGGRAPH Asia 2022] IDE-3D: Interactive Disentangled Editing For High-Resolution 3D-aware Portrait Synthesis
Re-implementation of e4e that use mobilenet-v3 and stylegan2-1024p
Controllable Hair Editing (ECCV 2022)
[ECCV 2020] Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches
[ECCV 2020] "Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches"
[ICCV 2023] StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces
(CVPR 2023) E4S: Fine-grained Face Swapping via Regional GAN Inversion
Collaborative Diffusion (CVPR 2023)
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.
AttGAN PyTorch Arbitrary Facial Attribute Editing: Only Change What You Want
a simple pipeline for face editing
Various applications based on Stylegan2 Style mixing that can be inference on cpu.
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