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Object Saliency Noise for Conditional Image Generation with Diffusion Models
Conditional image generation has paved the way for several breakthroughs in image editing, generating stock photos and 3-D object generation. -
SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion T...
Diffusion Transformer (DiT) has emerged as the new trend of generative diffusion models on image generation. In view of extremely slow convergence in typical DiT, recent... -
CelebA-HQ-FI and CelebA-25000
The dataset used in the paper is the CelebA-HQ-FI and CelebA-25000 datasets. -
SynthBuster dataset
The SynthBuster dataset is a collection of images generated by various diffusion models. -
CIFAR-10, CIFAR-100, and MNIST
The dataset used in the paper is a benchmark dataset for diffusion models, specifically denoising diffusion probabilistic models (DDPM). The dataset consists of images from...