ImageNet-512
Emerging6papers using it
2024first seen
ImageNet 512 is a benchmark dataset used to evaluate image generation models, containing images resized to 512x512 pixels.
Papers using ImageNet-512 (6)
- Unified Latents (UL): How to train your latentsPixelDiT: Pixel Diffusion Transformers for Image GenerationThere is No VAE: End-to-End Pixel-Space Generative Modeling via Self-Supervised Pre-trainingTADA: Improved Diffusion Sampling with Training-free Augmented DynamicsSimpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space
diffusionApplying Guidance in a Limited Interval Improves Sample and Distribution
Quality in Diffusion Models