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05/15/2023
Common Diffusion Noise Schedules and Sample Steps are Flawed
We discover that common diffusion noise schedules do not enforce the las...
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12/08/2022
Diffusion Guided Domain Adaptation of Image Generators
Can a text-to-image diffusion model be used as a training objective for ...
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11/24/2022
Shifted Diffusion for Text-to-image Generation
We present Corgi, a novel method for text-to-image generation. Corgi is ...
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01/12/2021
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
Training Generative Adversarial Networks (GAN) on high-fidelity images u...
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12/16/2020
Self-Supervised Sketch-to-Image Synthesis
Imagining a colored realistic image from an arbitrarily drawn sketch is ...
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05/27/2020
TIME: Text and Image Mutual-Translation Adversarial Networks
Focusing on text-to-image (T2I) generation, we propose Text and Image Mu...
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02/26/2020
Sketch-to-Art: Synthesizing Stylized Art Images From Sketches
We propose a new approach for synthesizing fully detailed art-stylized i...
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05/26/2019
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization
Exploring the potential of GANs for unsupervised disentanglement learnin...
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04/22/2019
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning
We investigate learning feature-to-feature translator networks by altern...
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01/23/2018
The Shape of Art History in the Eyes of the Machine
How does the machine classify styles in art? And how does it relate to a...
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12/04/2017
Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts
Most existing zero-shot learning methods consider the problem as a visua...
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06/21/2017