activity
20222025
most citedMultiface: A Dataset for Neural Face Rendering

50 citations · 51 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2025

Embody 3D: A Large-scale Multimodal Motion and Behavior Dataset

Claire McLean, Makenzie Meendering, Tristan Swartz +21

The Codec Avatars Lab at Meta introduces Embody 3D, a multimodal dataset of 500 individual hours of 3D motion data from 439 participants collected in a multi-camera collection stag…

cs.SD2025

BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching Models

Susan Liang, Dejan Markovic, Israel D. Gebru +7

Binaural rendering aims to synthesize binaural audio that mimics natural hearing based on a mono audio and the locations of the speaker and listener. Although many methods have bee…

cs.SD2025

SoundVista: Novel-View Ambient Sound Synthesis via Visual-Acoustic Binding

Mingfei Chen, Israel D. Gebru, Ishwarya Ananthabhotla +7

We introduce SoundVista, a method to generate the ambient sound of an arbitrary scene at novel viewpoints. Given a pre-acquired recording of the scene from sparsely distributed mic…

eess.AS2025

ComplexDec: A Domain-robust High-fidelity Neural Audio Codec with Complex Spectrum Modeling

Yi-Chiao Wu, Dejan Marković, Steven Krenn +2

Neural audio codecs have been widely adopted in audio-generative tasks because their compact and discrete representations are suitable for both large-language-model-style and regre…

eess.AS2024

EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation

Julius Richter, Yi-Chiao Wu, Steven Krenn +5

We release the EARS (Expressive Anechoic Recordings of Speech) dataset, a high-quality speech dataset comprising 107 speakers from diverse backgrounds, totaling in 100 hours of cle…

eess.AS2024

ScoreDec: A Phase-preserving High-Fidelity Audio Codec with A Generalized Score-based Diffusion Post-filter

Yi-Chiao Wu, Dejan Marković, Steven Krenn +2

Although recent mainstream waveform-domain end-to-end (E2E) neural audio codecs achieve impressive coded audio quality with a very low bitrate, the quality gap between the coded an…

cs.CV2023★ 1 cited

Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and Audio

Xudong Xu, Dejan Markovic, Jacob Sandakly +3

While 3D human body modeling has received much attention in computer vision, modeling the acoustic equivalent, i.e. modeling 3D spatial audio produced by body motion and speech, ha…

cs.CV2022★ 50 cited

Multiface: A Dataset for Neural Face Rendering

Cheng-hsin Wuu, Ningyuan Zheng, Scott Ardisson +28

Photorealistic avatars of human faces have come a long way in recent years, yet research along this area is limited by a lack of publicly available, high-quality datasets covering…

cs.CV2022

Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis

Karren Yang, Dejan Markovic, Steven Krenn +2

Since facial actions such as lip movements contain significant information about speech content, it is not surprising that audio-visual speech enhancement methods are more accurate…