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Found 4 papers, 4 papers with code
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Rectified flow is a recent generative model formulation that connects data and noise in a straight line.
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
We present SDXL, a latent diffusion model for text-to-image synthesis.
Semi-Parametric Neural Image Synthesis
Much of this success is due to the scalability of these architectures and hence caused by a dramatic increase in model complexity and in the computational resources invested in training these models.
Estimating Cardinalities with Deep Sketches
We introduce Deep Sketches, which are compact models of databases that allow us to estimate the result sizes of SQL queries.
Databases
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