Apr 20, 2022 · In DR-GAN, we introduce two novel modules: a semantic disentangling module (SDM) and a distribution normalization module (DNM). SDM combines the ...
Abstract—This article presents a new text-to-image (T2I) generation model, named distribution regularization generative adversarial network (DR-GAN), ...
DR-GAN-Distribution-Regularization-for-Text-to-Image-Generation-Draft Version. Introduction. This project page provides pytorch code that implements the ...
A new text-to-image (T2I) generation model, named distribution regularization generative adversarial network (DR-GAN), to generate images from text ...
Oct 22, 2024 · In DR-GAN, we introduce two novel modules: a semantic disentangling module (SDM) and a distribution normalization module (DNM). SDM combines the ...
This article presents a new text-to-image (T2I) generation model, named distribution regularization generative adversarial network (DR-GAN), to generate ...
This paper presents a new Text-to-Image generation model, named Distribution Regularization Generative Adversarial Network (DR-GAN), to generate images from ...
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We aim to develop AI-assisted tools to generate 2D/3D visual data including images, 3D models, and scenes from textual descriptions.
Jun 21, 2024 · Tan et al. [19] proposed DR-GAN, which introduced a distribution regularization mechanism never to make the generated image more closely match ...
This paper presents a new Text-to-Image generation model, named Distribution Regularization Generative Adversarial Network (DR-GAN), to generate images from ...