LSUN Church
Emerging14papers using it
2021first seen
The 'LSUN-Church' dataset contains images of church interiors and is used to evaluate the performance of diffusion models in high-quality image generation.
Papers using LSUN Church (14)
- Efficient Coarse-to-Fine Diffusion Models with Time Step Sequence RedistributionImproving Vector-Quantized Image Modeling with Latent
Consistency-Matching DiffusionDiffusion Models already have a Semantic Latent SpaceLatent Denoising Diffusion GAN: Faster sampling, Higher image qualityProgressive Deblurring of Diffusion Models for Coarse-to-Fine Image
SynthesisImproving Diffusion Model Efficiency Through PatchingPatched Denoising Diffusion Models For High-Resolution Image SynthesisFixed Point Diffusion ModelsWavelet Diffusion Models are fast and scalable Image GeneratorsGenerative Convolution Layer for Image GenerationGLeaD: Improving GANs with A Generator-Leading TaskFast Inference in Denoising Diffusion Models via MMD FinetuningRobust GAN inversionAccelerating Diffusion Models with One-to-Many Knowledge Distillation