Victoria Fernández Abrevaya

Orcid: 0000-0002-9829-4929

According to our database1, Victoria Fernández Abrevaya authored at least 22 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2016
2017
2018
2019
2020
2021
2022
2023
2024
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5
10
6
1
1
1
1
4
1
2
1
1
2
1

Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
InterDyn: Controllable Interactive Dynamics with Video Diffusion Models.
CoRR, 2024

GenLit: Reformulating Single-Image Relighting as Video Generation.
CoRR, 2024

OFER: Occluded Face Expression Reconstruction.
CoRR, 2024

LEAD: Latent Realignment for Human Motion Diffusion.
CoRR, 2024

Re-Thinking Inverse Graphics With Large Language Models.
CoRR, 2024

Analysis of Classifier-Free Guidance Weight Schedulers.
CoRR, 2024

Adversarial Likelihood Estimation With One-Way Flows.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SPARK: Self-supervised Personalized Real-time Monocular Face Capture.
Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

Explorative Inbetweening of Time and Space.
Proceedings of the Computer Vision - ECCV 2024, 2024

3D Facial Expressions through Analysis-by-Neural-Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
FLARE: Fast Learning of Animatable and Relightable Mesh Avatars.
ACM Trans. Graph., December, 2023

Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
LED: Latent Variable-based Estimation of Density.
CoRR, 2022

Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation.
Proceedings of the Computer Vision - ECCV 2022, 2022

I M Avatar: Implicit Morphable Head Avatars from Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020
Large-scale learning of shape and motion models for the 3D face. (Apprentissage à grande échelle de modèles de formes et de mouvements pour le visage 3D).
PhD thesis, 2020

Cross-Modal Deep Face Normals With Deactivable Skip Connections.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A Generative 3D Facial Model by Adversarial Training.
CoRR, 2019

A Decoupled 3D Facial Shape Model by Adversarial Training.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Multilinear Autoencoder for 3D Face Model Learning.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Spatiotemporal Modeling for Efficient Registration of Dynamic 3D Faces.
Proceedings of the 2018 International Conference on 3D Vision, 2018

2016
A 3D+t Laplace operator for temporal mesh sequences.
Comput. Graph., 2016


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