20 datasets found

We present a novel approach for generating minority samples that live on low-density regions of a data manifold.

Diffusion models are widely used in image generation because they can generate high-quality and realistic samples.

The dataset used in the paper is DPM-Solver++

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a pre-trained model to generate images.

A text-to-image diffusion model trained on a recaptioned dataset to improve image generation quality and semantic alignment.

Diffusion models have attracted significant attention due to the remarkable ability to create content and generate data for tasks like image classification. However, the usage...

The dataset contains images of subjects and styles, used for training and testing the FreeTuner model.

FreeTuner is a training-free method for compositional personalization that can generate any user-provided subject in any user-provided style.

A dataset used for experiments with LoRA-enhanced distillation on guided diffusion models

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.

The dataset used in the paper D-Flow: Differentiating through Flows for Controlled Generation

ControlNet dataset for image generation

The GEMRec-18K dataset contains 18 thousand images generated by 200 text-to-image diffusion models fine-tuned on Stable Diffusion.

The dataset used in the paper is a large-scale image generation dataset, which is used to evaluate the performance of the characteristic guidance method.

UniControl is a unified diffusion model for controllable visual generation in the wild, which is capable of simultaneously handling various visual conditions for the...

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...

Human Pose Estimation (HPE) aims to estimate the position of each joint point of the human body in a given image. HPE tasks support a wide range of downstream tasks such as...