53 datasets found

The dataset used in the paper is a collection of images synthesized using the proposed metasurface-based architecture.

The dataset used for training the generative adversarial network (GAN) model.

This dataset is used for fine-grained sketch-based image retrieval (FG-SBIR) and sketch style transfer. It contains 50,025 shoe photos.

The dataset is used to train the GlyphDraw model for visual text generation. It contains 792k images with 3.3M characters in images and more than 4.8k common unique Chinese...

Cap3D: A dataset of 3D models with corresponding images.

High-resolution image synthesis with latent diffusion models.

The dataset used in the paper is Dsprites and 3DShapes, which are popular disentanglement evaluation datasets.

LSUN Conference Rooms

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

The dataset used in the paper for training and testing the Denoising Diffusion Implicit Models.

A synthetic dataset containing occluded objects paired with their whole counterparts.

The Synthia dataset is a large-scale urban scene understanding dataset, containing 9000 samples. It is used for semantic segmentation tasks.

Stargan v2 dataset

The LAION-400M dataset is a large collection of images and captions that represent different cultures from around the world.

The CCUB dataset is a collection of images and captions that represent different cultures from around the world.

The dataset used for training the diffusion model, containing 2M images.

The dataset used in the paper is the LSUN bedrooms dataset, a large-scale image dataset.

A dataset of real indoor scenes for training and testing material-aware diffusion models

A dataset of synthetic indoor scenes for training and testing material-aware diffusion models

A dataset of synthetic indoor scenes for training and testing material-aware diffusion models