141 datasets found

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

The dataset used in the paper for appearance transfer with semantic correspondence in diffusion models.

The dataset used in this paper for generative model evaluation, consisting of 4.1M images from 41 state-of-the-art generative models spanning diffusion models, GANs, variational...

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

A dataset of high-quality, text-prompted, multi-layered images for training a layer-collaborative diffusion model.

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

A dataset of images of buildings and landmarks, used for training and testing image-based rendering and view synthesis algorithms.

InstantID is a zero-shot identity-preserving generation method for pre-trained text-to-image diffusion models.

We present MVSGaussian, a new fast generalizable Gaussian Splatting method. We evaluate our method on the widely-used DTU [1], Real Forward-facing [28], NeRF Synthetic [29], and...

The dataset used for the text-to-image generation task using diffusion models.

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

The dataset used in the paper is a collection of one-hot vectors representing the position of a Dirac delta function.

The dataset used in the paper is a collection of grey-level images of centred disks with varying radii.

The DDPM dataset consists of data from 86 subjects attempting to answer questions deceptively. Interviews were recorded at 90 frames-per-second for more than 10 minutes on average.

A dataset for person image generation. The approach uses a combination of 2D and 3D techniques to generate person images.

A high-quality synthetic dataset created for evaluating generative models

A portrait image generator with dynamic styling, using a semantic occupancy field and a semantic instance-wise StyleGAN for regional texturing.

Glide: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models