136 datasets found

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used 26 text-video pairs from the public DAVIS and WebVid datasets.

Object detection is a fundamental task in computer vision, requiring large annotated datasets that are difficult to collect.

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

ART•V is an efficient framework for auto-regressive video generation with diffusion models. It generates a single frame at a time, conditioned on the previous ones.

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.

The dataset used in the paper is a text-to-image personalization dataset, which consists of 16 concepts and 31 prompts.

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

Beta diffusion is a novel generative modeling method that integrates demasking and denoising to generate data within bounded ranges.

Diffusion models have become increasingly popular for synthesizing high-quality samples based on training datasets. However, given the oftentimes enormous sizes of the training...

A large database of 2 million images, which can also be downloaded and used as open source.

The dataset used in the paper is not explicitly mentioned, but it is implied to be a text-to-image dataset.

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...

DiffusionDB: A large-scale prompt gallery dataset for text-to-image generative models.

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...

Diffusion models that are based on iterative denoising have been recently proposed and leveraged in various generation tasks like image generation.

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...