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

AI4VA workshop at ECCV 2024

— IVRL and CVLab are organizing the AI4VA workshop in ECCV 2024 on September 29th. 

© 2024 EPFL

Keynote of Prof. Sabine Süsstrunk at CoSeRa 2024

— Sabine Süsstrunk will deliver a keynote presentation "On generating image and video hallucinations" at CoSeRa 2024 on September 20th.

© 2024 EPFL/Bahar Aydemir

Data Augmentation via Latent Diffusion for Saliency at ECCV 2024

— Our paper "Data Augmentation via Latent Diffusion for Saliency Prediction" was accepted at the 2024 European Conference on Computer Vision (ECCV 2024).

A composite image of the remnant of supernova 1181 © NASA/CHANDRA/WISE. ESA/XMM, MDM/R.Fessen (Dartmouth College), PAN-STARRS

“When imaging advances, science advances”

— Sabine Süsstrunk, an expert in scientific photography, has seen first-hand the amazing progress in imaging technology over the past 40 years. And now her field is being upended by artificial intelligence (AI).

© 2024 EPFL

6 posters from IVRL presented at ICCP 2024 in EPFL

— 6 posters from IVRL were presented at ICCP 2024 in EPFL, including 1 spotlight poster. 

© 2024 EPFL

Best Student Paper Award at ALIFE 2024

— Our paper "NoiseNCA: Noisy Seed Improves Spatio-Temporal Continuity of Neural Cellular Automata" received the Best Student Paper award at the Artificial Life Conference (ALIFE 2024).

© 2024 EPFL

IVRL at SIGGRAPH 2024

— Two members of IVRL will attend SIGGRAPH 2024 in Denver from July 28th to August 1st. Dongqing Wang was selected to be part of the Rising Stars program of WiGRAPH, and Yitao Xu will present our work on Mesh Neural Cellular Automata.

© 2024 EPFL

"SINDER: Repairing the Singular Defects of DINOv2" at ECCV 2024

— Our paper "SINDER: Repairing the Singular Defects of DINOv2" was accepted at the 2024 European Conference on Computer Vision (ECCC 2024)

© 2024 EPFL/IVRL, Bahar Aydemir and Sabine Süsstrunk

Congratulations to Dr. Bahar Aydemir !

— Bahar Aydemir received her PhD degree after her thesis defense on 18.07.2024.

© 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".

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