3d meshesSpeech

Voxceleb-3D

Introduced in Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?2022

About this Dataset

A dataset for voice and 3D face structure study. It contains about 1.4K identities with their 3D face models and voice data. 3D face models are fitted from VGGFace using BFM 3D models, and voice data are processed from Voxceleb

Source: Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?

Dataset Variants

Voxceleb-3D

Papers1

Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?

This work digs into a root question in human perception: can face geometry be gleaned from one's voices and proposes a analysis framework, Cross-Modal Perceptionist, which provides future human-centric cross-modal learning with explainable foundations.

Tasks

EDIT

3D Face Modelling

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Statistics

Papers

1

Tasks

8

Introduced

2022

License

MIT

Modalities

3d meshesSpeech