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.