41 datasets found

The dataset used in the paper is a new dataset for zero-shot performance comparison of spatial conditions.

Text-to-image synthesis using Factor Decomposed Generative Adversarial Networks (FDGAN)

Open-domain image manipulation using arbitrary text prompts

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a large-scale text-to-image model to generate images with multiple subjects.

A dataset of paired style and content images used for customizing a pre-trained text-to-image model with a single image pair.

MARS is an innovative auto-regressive framework that not only retains the capabilities of pre-trained Large Language Models (LLMs) but also incorporates top-tier text-to-image...

A set of metrics for evaluating text-to-image synthesis.

AttnGAN: Fine-grained text to image generation with attentional generative adversarial networks

Recipe1M and CUB datasets for text-to-image synthesis

The Concept Conjunction 500 (CC-500) dataset is a benchmark for text-to-image synthesis, consisting of 500 images with 500 corresponding text descriptions.

The Attribute Binding Contrast (ABC-6K) dataset is a benchmark for text-to-image synthesis, consisting of 6,000 images with 6,000 corresponding text descriptions.

A dataset of high-quality, text-prompted, multi-layered images for training a layer-collaborative diffusion model.

Text-guided 3D shape generation approach using CLIP and pre-trained single-view reconstruction model

Generating creative combinatorial objects by combining seemingly unrelated object concepts.

Text-to-image Latent Diffusion model, CLIP model, Blended Diffusion model, GLIDE model, GLIDE-filtered model

The dataset used in the paper is the Pick-a-Pic dataset, which consists of 87,687 pairs of text prompts and images.

The dataset used in the paper is the PartiPrompts dataset, which consists of 851,293 pairs of text prompts and images.

CLIPDrawX: Primitive-based Explanations for Text Guided Sketch Synthesis

Adding conditional control to text-to-image diffusion models.

Learning to follow image editing instructions.