Surrogate Gradient Field for Latent Space Manipulation
Minjun Li, Yanghua Jin, Huachun Zhu
2021Year
2Top-tier citations
Abstract
Figure 1 . Our Surrogate Gradient Field (SGF) can edit images with diverse modalities of control by manipulating the latent codes of GANs. In the first row, we adjust the facial attributes of a person's photo. In the second row, we use natural language sentences to alter the color and the shape of a generated flower. In the last row, we edit keypoints of a generated anime character to modify head poses. We use StyleGAN2 [20] to generate the images above.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers2
- Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning ViewXuanchi Ren, Tao Yang, Yuwang Wang, Wenjun ZengICLR 2022 · 54 citations
- Householder Projector for Unsupervised Latent Semantics DiscoveryYue Song, Jichao Zhang, Nicu Sebe, Wei WangICCV 2023 · 9 citations
Builds on9
- Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?Rameen Abdal, Yipeng Qin, Peter WonkaICCV 2019 · 1,195 citations
- GANSpace: Discovering Interpretable GAN ControlsErik Härkönen, Aaron Hertzmann, Jaakko Lehtinen, Sylvain ParisNeurIPS 2020 · 1,049 citations
- Differentiable Augmentation for Data-Efficient GAN TrainingShengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu et al.NeurIPS 2020 · 707 citations
- Unsupervised Discovery of Interpretable Directions in the GAN Latent SpaceAndrey Voynov, Artem BabenkoICML 2020 · 459 citations
- On the "steerability" of generative adversarial networksAli Jahanian, Lucy Chai, Phillip IsolaICLR 2020 · 421 citations
Related papers
- Conceptual and Hierarchical Latent Space Decomposition for Face EditingSavas Özkan, Mete Özay, Tom RobinsonICCV 2023 · 3 citations
- A Latent Transformer for Disentangled Face Editing in Images and VideosXu Yao, Alasdair Newson, Yann Gousseau, Pierre HellierICCV 2021 · 97 citations
- Latent Transformations via NeuralODEs for GAN-based Image EditingValentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem BabenkoICCV 2021 · 15 citations
- Navigating the GAN Parameter Space for Semantic Image EditingAnton Cherepkov, Andrey Voynov, Artem BabenkoCVPR 2021
- Everything is There in Latent Space: Attribute Editing and Attribute Style Manipulation by StyleGAN Latent Space ExplorationRishubh Parihar, Ankit Dhiman, Tejan Karmali, Venkatesh Babu R.ACM MM 2022 · 21 citations
