LSUN-Church
Emerging12papers 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 (12)
- 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 SpaceStyleformer: Transformer based Generative Adversarial Networks with
Style VectorProgressive 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 GenerationSequential Flow Straightening for Generative ModelingAccelerating Diffusion Models with One-to-Many Knowledge Distillation