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Instruct 4D-to-4D
The dataset used in the paper for 4D scene editing, consisting of 4D scenes captured by single hand-held cameras and multi-camera arrays. -
Real-world dataset for personalized federated unsupervised learning
The dataset used in the paper is a real-world dataset for personalized federated unsupervised learning. It is used to evaluate the performance of the proposed algorithms for... -
Synthetic dataset for personalized federated unsupervised learning
The dataset used in the paper is a synthetic dataset for personalized federated unsupervised learning. It is generated by sampling a global PC, V ∗ ∈ St(d, r), uniformly on the... -
Voltage-Controlled Magnetoelectric Devices for Neuromorphic Diffusion Process
Diffusion processes are ubiquitous. In human brains, the membrane potential of neurons is affected by stochastic noise1-3, which can be described by the Langevin equation in... -
TS-Diffusion
TS-Diffusion is a general model for generating highly complex time series with irregularities, missingness, and the large feature-temporal dimensionality, which are aspects... -
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Im...
Semi-supervised medical image segmentation aims to leverage limited annotated data and rich unlabeled data to perform accurate segmentation. -
InstructPix2Pix and StableSR datasets
The dataset used in the paper for Image-to-Image (I2I) tasks derived from large-scale Text-to-Image (T2I) models.