30 datasets found

The dataset used in the paper for visual instruction generation, containing 200 goals and instructions for various tasks.

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

Evaluation of image-text alignment for text-to-image synthesis models

Evaluation of image-text alignment for text-to-image synthesis models

Evaluation of image-text alignment for text-to-image synthesis models

Evaluation of image-text alignment for text-to-image synthesis models

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.

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.

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

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

Diffusion Models (DMs) represent a powerful class of generative models that have gained significant attention in recent years.

The dataset used for testing the Concept Sliders, consisting of paired image data and text prompts.

The dataset used for training the Concept Sliders, consisting of paired image data and text prompts.

The authors present a photorealistic text-to-image diffusion model with deep language understanding.

Coarse-Fine Granularity Prompts dataset (CFP) is a collection of 81,910 data instances from popular text-to-image community.

i-CLEVR is a synthetic dataset generated using the CLEVR engine. Each scene contains five image-instruction pairs. Starting from a background image, new objects are added...