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09/07/2023
Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis
Due to the difficulty in scaling up, generative adversarial networks (GA...
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08/29/2023
Learning Modulated Transformation in GANs
The success of style-based generators largely benefits from style modula...
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01/12/2023
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
Recent years witness the tremendous success of generative adversarial ne...
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03/21/2022
High-fidelity GAN Inversion with Padding Space
Inverting a Generative Adversarial Network (GAN) facilitates a wide rang...
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11/18/2021
One-Shot Generative Domain Adaptation
This work aims at transferring a Generative Adversarial Network (GAN) pr...
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07/20/2020
Generative Hierarchical Features from Synthesizing Images
Generative Adversarial Networks (GANs) have recently advanced image synt...
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03/31/2020
In-Domain GAN Inversion for Real Image Editing
Recent work has shown that a variety of controllable semantics emerges i...
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12/21/2019
Latent Variables on Spheres for Sampling and Spherical Inference
Variational inference is a fundamental problem in Variational Auto-Encod...
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06/27/2019
Curriculum Learning for Deep Generative Models with Clustering
Training generative models like generative adversarial networks (GANs) a...
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06/19/2019
