Gemma Canet Tarrés

According to our database, Gemma Canet Tarrés authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PLACID: Identity-Preserving Multi-Object Compositing via Video Diffusion with Synthetic Trajectories.

Gemma Canet Tarrés, Manel Baradad, Francesc Moreno-Noguer, Yumeng Li

CoRR, February, 2026

2025

Multitwine: Multi-Object Compositing with Text and Layout Control.

Gemma Canet Tarrés, Zhe Lin, Zhifei Zhang, He Zhang, Andrew Gilbert, John P. Collomosse, Soo Ye Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Thinking Outside the BBox: Unconstrained Generative Object Compositing.

Gemma Canet Tarrés, Zhe Lin, Zhifei Zhang, Jianming Zhang, Yizhi Song, Dan Ruta, Andrew Gilbert, John P. Collomosse, Soo Ye Kim

Proceedings of the Computer Vision - ECCV 2024, 2024

DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer.

Dan Ruta, Gemma Canet Tarrés, Andrew Gilbert, Eli Shechtman, Nicholas I. Kolkin, John P. Collomosse

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Self-supervised Disentangled Representation Learning of Artistic Style Through Neural Style Transfer.

Dan Ruta, Gemma Canet Tarrés, Alexander Black, Andrew Gilbert, John P. Collomosse

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

PARASOL: Parametric Style Control for Diffusion Image Synthesis.

Gemma Canet Tarrés, Dan Ruta, Tu Bui, John P. Collomosse

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

ALADIN-NST: Self-supervised disentangled representation learning of artistic style through Neural Style Transfer.

Dan Ruta, Gemma Canet Tarrés, Alex Black, Andrew Gilbert, John P. Collomosse

CoRR, 2023

2022

Context-Unsupervised Adversarial Network for Video Sensors.

Gemma Canet Tarrés, Montse Pardàs

Sensors, 2022

CoGS: Controllable Generation and Search from Sketch and Style.

Cusuh Ham, Gemma Canet Tarrés, Tu Bui, James Hays, Zhe Lin, John P. Collomosse

Proceedings of the Computer Vision - ECCV 2022, 2022