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05/29/2023
Concept Decomposition for Visual Exploration and Inspiration
A creative idea is often born from transforming, combining, and modifyin...
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03/16/2023
P+: Extended Textual Conditioning in Text-to-Image Generation
We introduce an Extended Textual Conditioning space in text-to-image mod...
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11/24/2022
Sketch-Guided Text-to-Image Diffusion Models
Text-to-Image models have introduced a remarkable leap in the evolution ...
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02/17/2022
When, Why, and Which Pretrained GANs Are Useful?
The literature has proposed several methods to finetune pretrained GANs ...
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12/06/2021
Label-Efficient Semantic Segmentation with Diffusion Models
Denoising diffusion probabilistic models have recently received much res...
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11/27/2020
Navigating the GAN Parameter Space for Semantic Image Editing
Generative Adversarial Networks (GANs) are currently an indispensable to...
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06/08/2020
Big GANs Are Watching You: Towards Unsupervised Object Segmentation with Off-the-Shelf Generative Models
Since collecting pixel-level groundtruth data is expensive, unsupervised...
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02/10/2020
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
The latent spaces of typical GAN models often have semantically meaningf...
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12/23/2019
