Image and Visual Representation Lab

Welcome to IVRL

IVRL Logo

 

The Image and Visual Representation Lab (IVRL) performs research that is primarily focused on the capture, analysis, and reproduction of color images. Aiming to improve everyone’s photographic experience, we develop algorithms and systems that help us understand, process, and measure images.

Our research areas are computational photography, color image processing, computer vision, and image quality.

News:

© 2024 EPFL, Liying Lu

Liying Lu passed her candidacy exam

— Liying Lu passed her candidacy exam entitled "RAW Image Synthesis for Learnable Image Signal Processing Pipeline".

EPFL student Yitao Xu defending his EDIC candidacy exam © 2024 EPFL

Yitao Xu passed his candidacy exam

— Yitao Xu passed his candidacy exam entitled "Interaction Learning with Neural Cellular Automata" .

EPFL student Dongqing Wang presenting a research work in CVPR 2024 © 2024 EPFL

Congrats to Dongqing Wang for her Qualcomm Innovation Fellowship!

— Dongqing Wang, a doctoral student in IVRL, has been awarded the Qualcomm Innovation Fellowship (QIF) Europe for her research proposal “Towards visually plausible and controllable 360° Virtual Reality”.

© 2024 IVRL/EPFL

Presentations from IVRL members at AI Tinkerers Lausanne Meetup

— Research highlights from IVRL members at AI Tinkerers Lausanne

© 2024 EPFL

Two papers from IVRL appear in ICLR 2024

— Two papers from IVRL appear in ICLR 2024.

© 2024 EPFL

Three papers from IVRL will appear in CVPR 2024

— Three papers from IVRL will appear in CVPR 2024.

© 2024 EPFL

One paper from IVRL will appear in SIGGRAPH 2024

— One paper from IVRL will appear in SIGGRAPH 2024.

© 2024 EPFL

Two papers from IVRL will appear in Artificial Life (ALife) 2024

— Two papers from IVRL will appear in Artificial Life (ALife) 2024.

© 2024 EPFL

"Exploiting the Signal-Leak Bias in Diffusion Models" at WACV 2024

— Our paper "Exploiting the Signal-Leak Bias in Diffusion Models" was accepted and presented at the Winter Conference on Applications of Computer Vision (WACV 2024)

Guy Parmelin and Professor Sabine Süsstrunk WEF © EPFL 2024 - CC-BY-SA 4.0

AI and deepfakes on show at Davos

— Among the global powerbrokers at this year’s annual World Economic Forum in Davos many were interested in the fast-moving opportunities and challenges of artificial intelligence and the School of Computer and Communication Sciences was a key player among the action.

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