HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing

By A. B. Impact. 2022

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Binh-Son Hua
2. Anh Tuan Tran
3. Tan M. Dinh
4. Rang Nguyen
5. Yuval Nirkin
6. Tal Hassner
7. Quang-Hieu Pham
8. Dinh C. Nguyen

Citations in the corpus

• InstructPix2Pix: Learning to Follow Image Editing Instructions (2022, neutral): “Numerous editing approaches invert [1–3, 12] or Recent works have used pretrained text-to-image diffusion models for image editing [5,17,27,38,48].”
• HyperInverter: Improving StyleGAN Inversion via Hypernetwork (2021, background): “Interestingly, a concurrent work named HyperStyle [4] also leverages the hypernetworks to solve the StyleGAN inversion task at the same time as ours.”