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DreamMesh4D: Video-to-4DGenerationwith Sparse-ControlledGaussian-MeshHybrid Representation

Neural Information Processing Systems

Drawing inspiration from modern 3D animation pipelines, we introduce DreamMesh4D, a novel framework combining mesh representationwith geometric skinning technique togenerate high-quality 4Dobject from amonocular video.



AppendixFor RecurrentBayesianClassifierChainsForExact Multi-LabelClassification

Neural Information Processing Systems

Ascalculatingthese residuals requires out-of-sample inference, we fit the models and half of the data and evaluate on the other half, before switching the training and testing sets and training/inferring again. We used the Adam optimizer [4] and PyTorch's exponential learning rate scheduler with gammasetto0.99.