PIQA is a collection of PyTorch metrics for image quality assessment in various image processing tasks such as generation, denoising, super-resolution, ...

This is the official github repository for Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension (EMNLP 2018).

PyTorch Image Quality Assessement package. Contribute to francois-rozet/piqa development by creating an account on GitHub.

PyTorch Image Quality Assessement package. Contribute to francois-rozet/piqa development by creating an account on GitHub.

DN-PIQA. This is a repository for the models proposed in the paper "Dual-Branch Network for Portrait Image Quality Assessment".

A new commonsense QA benchmark for naive physics reasoning focusing on how we interact with everyday objects in everyday situations.

PIQA is a collection of PyTorch metrics for image quality assessment in various image processing tasks such as generation, denoising, super-resolution, ...

PyTorch Image Quality Assessement package. Contribute to francois-rozet/piqa development by creating an account on GitHub.

PyTorch Image Quality Assessement package. Contribute to francois-rozet/piqa development by creating an account on GitHub.

PIQA is a physical commonsense reasoning and a corresponding benchmark dataset. PIQA was designed to investigate the physical knowledge of existing models.