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Naturalistic Music Decoding from EEG Data via Latent Diffusion Models
In this article, we explore the potential of using latent diffusion models, a family of powerful generative models, for the task of …
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Naturalistic Music Decoding from EEG Data via Latent Diffusion Models
Latent Functional Maps
Neural models learn data representations that lie on low-dimensional manifolds, yet modeling the relation between these …
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Latent Functional Maps
Latent Space Translation via Inverse Relative Projection
The emergence of similar representations between independently trained neural models has sparked significant interest in the …
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Latent Space Translation via Inverse Relative Projection
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
It has been observed that representations learned by distinct neural networks conceal structural similarities when the models are …
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From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
Cycle-Consistent Multi-Model Merging
In this paper, we present a novel data-free method for merging neural networks in weight space. Differently from most existing works, …
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Cycle-Consistent Multi-Model Merging
GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting
We present GSEdit, a pipeline for text-guided 3D object editing based on Gaussian Splatting models. Our method enables the editing of …
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GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting
Implicit-ARAP: Efficient Handle-Guided Deformation of High-Resolution Meshes and Neural Fields via Local Patch Meshing
In this work, we present the local patch mesh representation for neural signed distance fields. This technique allows to discretize …
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Implicit-ARAP: Efficient Handle-Guided Deformation of High-Resolution Meshes and Neural Fields via Local Patch Meshing
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations
We present COCOLA (Coherence-Oriented Contrastive Learning for Audio), a contrastive learning method for musical audio representations …
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COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations
Zero-Shot Duet Singing Voices Separation with Diffusion Models
In recent studies, diffusion models have shown promise as priors for solving audio inverse problems, including source separation. These …
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Zero-Shot Duet Singing Voices Separation with Diffusion Models
Continuous Vector Quantile Regression
Vector quantile regression (VQR) estimates the conditional vector quantile function (CVQF), a fundamental quantity which fully …
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Continuous Vector Quantile Regression