ImageNet 256x-256

'ImageNet 256x-256' is a benchmark dataset containing images resized to 256x256 pixels, used to evaluate the performance of visual synthesis models, particularly in the context of representation learning.

Papers using ImageNet 256x-256 (2)

Native-resolution Image Synthesis2025DiverseDiT: Towards Diverse Representation Learning in Diffusion Transformers2026