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EEG Synthetic Data Generation Using Probabilistic Diffusion Models
EEG Synthetic Data Generation Using Probabilistic Diffusion Models -
Memorization in Unconditional Latent Diffusion Models
A chest X-ray dataset, a knee MRI dataset, and a PCCTA dataset were used to assess memorization in unconditional latent diffusion models for medical image synthesis. -
Fake It Till You Make It
The dataset used in the paper for face analysis in the wild using synthetic data alone. -
Stable Diffusion For Aerial Object Detection
Aerial object detection is a challenging task, in which one major obstacle lies in the limitations of large-scale data collection and the long-tail distribution of certain... -
Synthetic Dataset
The dataset used in this work is a custom synthetic dataset generated using the liquid-dsp library, containing 600000 examples of each of 13.8 million examples, with SNRs... -
Resyris - a real-synthetic rock instance segmentation dataset for training an...
A real-synthetic rock instance segmentation dataset for training and benchmarking. -
Synthetic-NSVF
The dataset used in the paper SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World -
Synthetic-NeRF
The dataset used in the paper SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World