We use self-expressive layer to learn the affinity matrix of the hidden space of a generator, and we found subspace in GAN. Also we propsed a subspace-based high-fidelity GAN inversion model.
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Updated
Jan 10, 2022 - Python
We use self-expressive layer to learn the affinity matrix of the hidden space of a generator, and we found subspace in GAN. Also we propsed a subspace-based high-fidelity GAN inversion model.
inverting an image back to its latent space Z
HyperInverter: Improving StyleGAN Inversion via Hypernetwork (CVPR 2022)
Some GAN inversion methods I used or wrote before.
Python scripts to pre-train, fine-tune and use JoJoGAN with improved GAN inversion.
A web application to create your own custom creatives (and much more).
CVPR 2022 HFGI: High-Fidelity GAN Inversion for Image Attribute Editing
[ECCV 2022] PadInv: High-fidelity GAN Inversion with Padding Space
Author implementation of RiDDLE: Reversible and Diversified De-identification with Latent Encryptor (CVPR 2023)
[CVPR 2023] E3DGE: An encoder-based 3D StyleGAN inversion framework.
QC-StyleGAN - Quality Controllable Image Generation and Manipulation (NeurIPS 2022)
This is a simple demo for "Modeling GAN Latent Dynamics using Neural ODEs".
Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" (ACM TOG 2022) https://arxiv.org/abs/2106.05744
Official implementation of "Intra-Source Style Augmentation for Improved Domain Generalization" (WACV 2023 & IJCV)
Collection of works in my PhD at Virginia Tech, mostly focused on computer vision and machine learning applications in structural inspection and structural health monitoring.
A GAN inversion toolbox based on PyTorch library. We design a unified pipeline for inversion methods and conduct a comprehensive benchmark.
Official implementation of https://arxiv.org/pdf/2312.05330.pdf
Repo for all the SRIP 2024 work at CVIG Lab IITGN under Prof. Shanmuganathan Raman
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