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20172026
most citedLook Ma, no markers: holistic performance capture without the hassle

17 citations · 40 across the 16 of their papers we have counts for

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18 papers · 1 filter

cs.CV2025

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data

Fatemeh Saleh, Sadegh Aliakbarian, Charlie Hewitt +5

The state of the art in human-centric computer vision achieves high accuracy and robustness across a diverse range of tasks. The most effective models in this domain have billions…

cs.CV2025

Total-Editing: Head Avatar with Editable Appearance, Motion, and Lighting

Yizhou Zhao, Chunjiang Liu, Haoyu Chen +6

Face reenactment and portrait relighting are essential tasks in portrait editing, yet they are typically addressed independently, without much synergy. Most face reenactment method…

cs.CV2024

GASP: Gaussian Avatars with Synthetic Priors

Jack Saunders, Charlie Hewitt, Yanan Jian +8

Gaussian Splatting has changed the game for real-time photo-realistic rendering. One of the most popular applications of Gaussian Splatting is to create animatable avatars, known a…

cs.CV2024

SympCam: Remote Optical Measurement of Sympathetic Arousal

Björn Braun, Daniel McDuff, Tadas Baltrusaitis +3

Recent work has shown that a person's sympathetic arousal can be estimated from facial videos alone using basic signal processing. This opens up new possibilities in the field of t…

cs.CV20246 cited

Hairmony: Fairness-aware hairstyle classification

Givi Meishvili, James Clemoes, Charlie Hewitt +9

We present a method for prediction of a person's hairstyle from a single image. Despite growing use cases in user digitization and enrollment for virtual experiences, available met…

cs.CV202417 cited

Look Ma, no markers: holistic performance capture without the hassle

Charlie Hewitt, Fatemeh Saleh, Sadegh Aliakbarian +8

We tackle the problem of highly-accurate, holistic performance capture for the face, body and hands simultaneously. Motion-capture technologies used in film and game production typ…