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S2DM: Sector-Shaped Diffusion Models for Video Generation
Diffusion models have achieved great success in image generation. However, when leveraging this idea for video generation, we face significant challenges in maintaining the... -
Eye-for-an-Eye: Appearance Transfer with Semantic Correspondence in Diffusion...
The dataset used in the paper for appearance transfer with semantic correspondence in diffusion models. -
SDXL-ControlNet
Text-to-image dataset with conditional control -
EIGENFOLD: Generative Protein Structure Prediction with Diffusion Models
Protein structure prediction has reached revolutionary levels of accuracy on single structures, yet distributional modeling paradigms are needed to capture the conformational... -
Binarized Diffusion Model for Image Super-Resolution
Advanced diffusion models perform impressively in image super-resolution, but the high memory and computational costs hinder their deployment. Binarization, an ultra-compression... -
Diffusion idea exploration for art generation
The dataset used for the text-to-image generation task using diffusion models. -
Textile Pattern Generation Using Diffusion Models
A custom dataset of approximately 4,000 pattern images from various sources on the internet, compiled for training a fine-tuned diffusion model for textile pattern generation. -
GEODIFFUSION: TEXT-PROMPTED GEOMETRIC CONTROL FOR OBJECT DETECTION DATA GENER...
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... -
Boosting the performance of anomalous diffusion classifiers with the proper c...
Understanding and identifying different types of single molecules' diffusion that occur in a broad range of systems (including living matter) is extremely important, as it can... -
FreeTuner Dataset
The dataset contains images of subjects and styles, used for training and testing the FreeTuner model. -
FreeTuner: Any Subject in Any Style with Training-free Diffusion
FreeTuner is a training-free method for compositional personalization that can generate any user-provided subject in any user-provided style. -
MTTN: Multi-Pair Text to Text Narratives for Prompt Generation
A large-scale dataset for generating prompts that can be used in diffusion models for text-to-text generation tasks. -
Boomerang: Local sampling on image manifolds using diffusion models
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used it for data anonymization, data augmentation, and image perceptual quality... -
Anomalous Diffusion
Anomalous diffusion dataset, containing trajectories of molecules, cells, or animals. -
Anomalous Diffusion Challenge
Anomalous Diffusion Challenge dataset, containing single-particle trajectories of diffusive motion of molecules, cells, or animals. -
Emu Video Edit Training Dataset
The Emu Video Edit model's training dataset, containing 1600 videos with 7 editing instructions each.