9 datasets found

The dataset is used for training and testing the proposed VTGAN model for fundus-to-angiogram synthesis and disease prediction.

The dataset used in the paper is a large set of real images extracted from various object categories of the LSUN dataset and 362K images generated by 20 ProGAN models.

Synthesizing remote sensing imagery from land cover maps and auxiliary raster data

GANSketch dataset contains sketches and images for training and testing

LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation

Zero-1-to-3: Zero-shot one image to 3D object.

The dataset used in the paper is a large set of real images extracted from the RAISE 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...

The LLFF dataset contains 8 forward-facing scenes. Following [19, 26, 35, 42], we take every 8-th image as the novel views for testing. The input views are evenly sampled across...