Martin Nicolas Everaert

About me

I am a third-year PhD student in the Image and Visual Representation Lab (IVRL) at EPFL. I am grateful to be supervised by my PhD advisor Prof. Dr. Sabine Süsstrunk and my PhD co-advisor Dr. Radhakrishna Achanta. My research focuses on Computational Aesthetics, overlapping with Computation and Language, Computer Vision, Deep Learning, Generative Models, etc.

Publications

• M. N. Everaert, M. Bocchio, S. Arpa, S. Süsstrunk, and R. Achanta. “Diffusion in Style”, accepted in ICCV 2023 + patent filed (2023). Paper (coming soon) Website

• M. N. Everaert. “Aesthetics-Oriented Video Generation and Editing”, EDIC research proposal (2022). Write-up

• D. Bhattacharjee, M. N. Everaert, M. Salzmann, and S. Süsstrunk. “Estimating Image Depth in the Comics Domain”, WACV 2022: Winter Conference on Applications of Computer Vision (2022). Paper Supplementary Poster Video Code Website

• A. P. Dherse, M. N. Everaert, and J. J. Gwizdała. “Scene relighting with illumination estimation in the latent space on an encoder-decoder scheme”, arXiv preprint arXiv:2006.02333 (2020). Report Code Slides

Supervision

• 1 BS student. “Feed-Forward Guidance for Text-to-Image Diffusion Models”, as Bachelor semester project (Fall 2023, ongoing). Project description

• 1 MS student. “Generating stories from keywords”, as Master semester project (Spring 2023). Project description

• 1 BS student. “Coreference resolution for story visualization”, as Bachelor semester project (Spring 2023). Project description

• 1 team of 3 MS students. “Aesthetics of sets of images”, as part of the class CS-413: Computational photography (Spring 2023). Project description

• 1 team of 3 MS students + 1 team of 2 MS students. “TimeWarp: How would this scene look in 100 years?”, as part of the class CS-413: Computational photography (Spring 2023). Project description

• 2 teams of 3 MS students. “Text to Photomosaic”, as part of the class CS-413: Computational photography (Spring 2023). Project description

• 1 team of 3 MS students. “From RGB to NIR with Style Transfer”, as part of the class CS-413: Computational photography (Spring 2023). Project description

• 1 MS student. “Generate images from texts”, as Master semester project (Fall 2022). Project description

• 1 BS student. “Is this video an ad?”, as Bachelor semester project (Fall 2022). Project description

• 1 team of 3 MS students. “Improving an open-source microscope by adding multispectral imagery”, as part of the class CS-413: Computational photography (Spring 2022). Project description

• 2 teams of 3 MS students. “Low-level image transformations for image aesthetics” as part of the class CS-413: Computational photography (Spring 2022). Project description

Teaching assistant works

• Fall 2023 - ongoing: CS-328: Numerical Methods for Visual Computing and Machine Learning, taught by Prof. Dr. Wenzel Jakob.
• Spring 2023: CS-413: Computational photography, taught by Prof. Dr. Sabine Süsstrunk.
• Spring 2022: CS-413: Computational photography, taught by Prof. Dr. Sabine Süsstrunk.
• Fall 2021: CS-328: Numerical Methods for Visual Computing and Machine Learning, taught by Prof. Dr. Wenzel Jakob.