The MS COCO (Microsoft Common Objects in Context) dataset is a large-scale object detection, segmentation, key-point detection, and captioning dataset. The ...

The MS COCO (Microsoft Common Objects in Context) dataset is a large-scale object detection, segmentation, key-point detection, and captioning dataset. The ...

We propose to use the metric MS-COCO FID-30K with OpenAI's CLIP score, which has already become a standard for measuring the quality of text2image models. We ...

COCO-Text V2.0 contains 63,686 images with 239,506 annotated text instances. Mask Annotations. Segmentation mask is annotated for every word, allowing fine- ...

21 июн. 2022 г. · I was trying to evaluate the text to image generation results on coco dataset. I computed the FID on 259 samples randomly drawn from the ...

Text-to-Image samples on MS-COCO captions. The images in the second column are sampled from MAGVLT trained without UnrollMask and MixSel.

A Large-Scale Scene Text Dataset, Based on MSCOCO.

We present Corgi, a novel method for text-to-image gen- eration. Corgi is based on our proposed shifted diffusion model, which achieves better image ...

COCO is a large-scale object detection, segmentation, and captioning dataset. COCO has several features: Object segmentation; Recognition in context; Superpixel ...

In the MS COCO dataset for text-to-image and image-to-text retrieval, we manually annotated anchor boxes for the images · HMIB. · The current unsupervised cross- ...