AI for Content Creation (AICC) Workshop Call for Papers

AI for Content Creation (AICC) Workshop @ CVPR 2021
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


Any questions, feel free to email me,
james_tompkin@brown.edu