http://visual.cs.brown.edu/aicc2021/

Submissions due March 8th 2021 11:59 PST: https://cmt3.research.microsoft.com/AICC2021/

The AI for Content Creation (AICC) workshop at CVPR 2021 brings together researchers in computer vision, machine learning, and AI. Content creation has several important applications ranging from virtual reality, videography, gaming, and even retail and advertising. The recent progress of deep learning and machine learning techniques allows us to potentially turn hours of manual, painstaking content creation work into minutes or seconds of automated work. For instance, generative adversarial networks (GANs) have been used to produce photorealistic images of items such as shoes, bags, and other articles of clothing, interior/industrial design, and even computer games' scenes. Learned priors can also be combined with explicit geometric constraints, allowing for realistic and visually pleasing solutions to traditional problems such as novel view synthesis.

We call for papers (8 pages not including references) and extended abstracts (4 pages not including references) to be showcased in a poster session. Authors of accepted papers and extended abstracts will be asked to post their submissions on arXiv. To foster a free exchange of ideas, we will accept work in progress, work that has not been published elsewhere, and work that has been recently published elsewhere including at CVPR 2021. 

We seek contributions on a variety of aspects on content creation, including:

– Image and video for enthusiast, VFX, architecture, advertisements, art

– 2D/3D graphic design

– Text and typefaces

– Design for documents, Web

– Fashion, garments, and outfits

– Novel applications and datasets

Tentative Speakers: Tali Dekel, Kristen Grauman, Matthias Niessner, Devi Parikh, Sergey Tulyakov, Raquel Urtasun, Ira Kemelmacher-Shlizerman, Jon Barron

Organizers: Deqing Sun, Sanja Fidler, Lu Jiang, Angjoo Kanazawa, Ming-Yu Liu, Cynthia Lu, Kalyan Sunkavalli, Weilong Yang, James Tompkin