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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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02/20/2023
Composer: Creative and Controllable Image Synthesis with Composable Conditions
Recent large-scale generative models learned on big data are capable of ...
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10/27/2022
Deep Generative Models on 3D Representations: A Survey
Generative models, as an important family of statistical modeling, targe...
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12/01/2021
Improving GAN Equilibrium by Raising Spatial Awareness
The success of Generative Adversarial Networks (GANs) is largely built u...
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05/18/2021
Decorating Your Own Bedroom: Locally Controlling Image Generation with Generative Adversarial Networks
Generative Adversarial Networks (GANs) have made great success in synthe...
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03/13/2021
Unsupervised Image Transformation Learning via Generative Adversarial Networks
In this work, we study the image transformation problem by learning the ...
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07/13/2020
Closed-Form Factorization of Latent Semantics in GANs
A rich set of semantic attributes has been shown to emerge in the latent...
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05/18/2020
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs
Although Generative Adversarial Networks (GANs) have made significant pr...
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07/25/2019
