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On the Noise Scheduling for Generating Plausible Designs with Diffusion Models
We delve into the impact of noise schedules of diffusion models on the plausibility of the outcome: there exists a range of noise levels at which the model's performance decides the result plausibility.
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis
The potential of SA-ALAE is shown by generating engineering blueprints in a real automotive design task.
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