11 datasets found

Groups: Computer Vision Organizations: No Organization

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  • Image Generation Dataset

    The dataset used in this paper for image generation.

  • MNIST and FashionMNIST

    The MNIST and FashionMNIST datasets are used to test the performance of the proposed generative autoencoders.

  • StereoDiffusion

    StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion Models

  • LSUN-Church

    Progress in GANs has enabled the generation of high-res-olution photorealistic images of astonishing quality. StyleGANs allow for compelling attribute modification on such...

  • Visual AutoRegressive modeling (VAR)

    Visual AutoRegressive modeling (VAR), a new generation paradigm that redefines the autoregressive learning on images as coarse-to-fine “next-scale prediction” or...

  • MS-COCO

    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...

  • DIV2K

    Single Image Super-Resolution (SR) aims to generate a High Resolution (HR) image I SR from a low resolution (LR) im-age I LR such that it is similar to original HR image I HR....

  • LSUN

    The dataset used for training and validation of the proposed approach to combine semantic segmentation and dense outlier detection.

  • CLIP

    The CLIP model and its variants are becoming the de facto backbone in many applications. However, training a CLIP model from hundreds of millions of image-text pairs can be...

  • FFHQ

    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...

  • COCO

    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...