Masking conditions during training with varying sparsity schedules lets small VAEs and latent diffusion models generate engineering designs from partially specified inputs.
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Masked Conditioning for Deep Generative Models
Masking conditions during training with varying sparsity schedules lets small VAEs and latent diffusion models generate engineering designs from partially specified inputs.