LSUN
Canonical11papers using it
2017first seen
The 'LSUN' dataset contains a large collection of labeled images across various categories and is used to evaluate the performance of image generation models.
Papers using LSUN (11)
- Modulated Diffusion: Accelerating Generative Modeling with Modulated QuantizationMMD GAN: Towards Deeper Understanding of Moment Matching NetworkProgressive Distillation for Fast Sampling of Diffusion ModelsMemory Replay GANs: learning to generate images from new categories
without forgettingCoulomb GANs: Provably Optimal Nash Equilibria via Potential FieldsExploring Vision Transformers as Diffusion LearnerscGANs with Conditional Convolution LayerFirst Order Generative Adversarial Networksf-DM: A Multi-stage Diffusion Model via Progressive Signal
TransformationA Gauss-Newton Approach for Min-Max Optimization in Generative
Adversarial NetworksScore Mismatching for Generative Modeling