We are an inter-disciplinary team of researchers working in visual computing, in particular, computer graphics and computer vision. Current areas of focus include 3D and robotic vision, 3D printing and content creation, animation, AR/VR, geometric and image-based modelling, machine learning, natural phenomenon, and shape analysis. Our research works frequently appear in top venues such as SIGGRAPH, CVPR, and ICCV (we rank #11 in the world in terms of top publications in visual computing, as of 7/2020) and we collaborate widely with the industry and academia (e.g., Adobe Research, Google, MSRA, Princeton, Stanford, and Washington). Our faculty and students have won numerous honours and awards, including FRSC, Alain Fournier Best Thesis Award, Google Faculty Award, TR35@Singapore, NSERC Discovery Accelerator, and several best paper awards from ECCV, SCA, SGP, etc. Gruvi alumni went on to take up faculty positions in Canada, the US, and Asia, while others now work at companies including Apple, EA, Facebook, Google, IBM, and Microsoft.
Sep 14th, 2022
Congratulations to Qimin Chen, Wallace Lira, and Sonia Raychaudhuri! They were selected as recipients for the inaugural CS Outstanding Teaching Assistent Award. This award recognizes exceptional TAs in the School of Computing Science for their outstanding work in teaching and performing other TA duties. The recipients will be acknowledged at the October 20th school meeting.
Aug 7th, 2022
The first SFU Visual Computing Workshop was held on Aug 7th at the Morris J. Wosk Centre for Dialogue in Vancouver, Canada. This workshop preceded SIGGRAPH 2022, so it was conceived as a warmup for the researchers that were gathering for the most prestigious Computer Graphics conference.The workshop was organized by Daniel Cohen-Or, Richard Zhang, Ali Mahdavi-Amiri, and Wallace Lira. The event featured some of the leading voices and rising stars in the Computer Graphics community, where the panelists included Angel Chang, Yasutaka Furukawa, Rana Hanocka, Niloy Mitra, and Ariel Shamir. Further, the featured speakers were Amit Bermano, Jason Peng, Rana Hanocka, Niloy Mitra, Ming Lin, Yifan Wang, and Andrea Tagliasacchi.
May 5th, 2022
Title: MyStyle: A Personalized Generative Prior Time: Friday, May 6th at 11:00 AM PST Abstract: Deep generative models have proved to be successful for many image-to-image applications. Such models hallucinate information based on their large and diverse training datasets. Therefore, when enhancing or editing a portrait image, the model produces a generic and plausible output, but often it isn’t the person who actually appears in the image. In this talk, I’ll present our latest work, MyStyle - which introduces the notion of a personalized generative model. Trained on ~100 images of the same individual, MyStyle learns a personalized prior, custom to their unique appearance. This prior is then leveraged to solve ill-posed image enhancement and editing tasks - such as super-resolution, inpainting and changing the head pose. MyStyle Paper Yotam Nitzan’s personal webpage
May 4th, 2022
Congratulations to Hao (Richard) Zhang and Manolis Savva for receiving awards at the Graphics Interface 2022. Richard has received the 2022 CHCCS/SCDHM Achievement Award of the Canadian Human-Computer Communications Society. Richard has had numerous high-impact contributions to computer graphics including geometric modeling, shape analysis, geometric deep learning, and computational design and fabrication. Manolis has received the 2022 Early Career Researcher Award. Manolis has established himself as a central figure in topics at the intersection of computer graphics, 3D sensing, and machine learning. To learn more about the research contributions of Richard and Manolis please checkout here and here.