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Magdalena Proszewska

3 accepted papers

2024

HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract)

AAAI 2024technical

Implicit field representations offer an effective way of generating 3D object shapes. They leverage an implicit decoder (IM-NET) trained to take a 3D point coordinate concatenated with a shape encoding and to output a value indicating whether the point is outside the shape. This approach enables the…

2022

PluGeN: Multi-Label Conditional Generation from Pre-trained Models

AAAI 2022technical

Modern generative models achieve excellent quality in a variety of tasks including image or text generation and chemical molecule modeling. However, existing methods often lack the essential ability to generate examples with requested properties, such as the age of the person in the photo or the wei…

2022

Text-Free Non-Parallel Many-To-Many Voice Conversion Using Normalising Flow

ICASSP 2022accepted

Non-parallel voice conversion (VC) is typically achieved using lossy representations of the source speech. However, ensuring only speaker identity information is dropped whilst all other information from the source speech is retained is a large challenge. This is particularly challenging in the scen…

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