Best student poster award at the First Multimodal AI Workshop in the UK

Best Student Poster Award at the First Workshop of Multimodal AI 2023

I am delighted to share that my collaborators and I have been awarded the Best Student Poster Award at the First Workshop of Multimodal AI. The poster includes two works on Diffusion Models applied to Inpainting and Image Candidate Selection.

Our work introduces diffusion models for the restoration and preservation of cultural heritage pieces, in particular, the reconstruction of ancient paintings.

Summary of the work.

Within the field of Cultural Heritage, image inpainting is a conservation process that fills in missing or damaged parts of an artwork to present a complete image. Multi-modal diffusion models have brought photo-realistic results on image inpainting where content can be generated by using descriptive text prompts. Additionally, generative models produce many plausible outputs for a given prompt. Our work presents a methodology to improve the inpainting of fine art by automating the selection process of inpainted candidates. We propose a discriminator model that processes the output of inpainting models and assigns a probability that indicates the likelihood that the restored image belongs to a certain painter.