Computer Vision and Machine Learning
for Computer Graphics

Seminar – Summer Semester 2021


CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion (SIGGRAPH, 2020)	TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style (CVPR, 2020)

Before the seminar:
- Read the topic papers and think about them.
- Submit at least two questions for discussion before the seminar to golyanik@mpi-inf.mpg.de. This is important – your contribution will be marked.
During the seminar:
- Presentation (40 minutes, 30% of grade):
  - One pre-assigned participant presents on a topic of their choice.
  - Brief review of the previous week’s topic, finding themes that join the two weeks.
  - ~5 minutes on motivation, background and related work.
  - ~25 minutes of presentation of the two papers, focusing on the common links between the papers.
- Discussion (40–45 minutes, 30% of grade across weeks):
  - One person is assigned at random at the beginning of the seminar to lead the discussion. Everybody leads discussion at least once in the seminar series.
  - The discussion leader receives a digest of the submitted questions just before the seminar.
  - The discussion leader raises questions appropriately throughout the discussion, covers future work aspects, and finally provides a summary of the strengths and weaknesses of the techniques and of the discipline.
- Feedback (5–10 minutes, ungraded):
  - The students provide feedback to the presenting student on their presentation with respect to what has worked well, and what could be improved and how.
  - The topic supervisor and/or seminar organisers will provide additional feedback privately after the seminar.

Written report on your topic (40% of grade):
- 3–4 pages on the two papers.
- 2–3 pages on improvements and your own ideas.
- Include 3–4 additional references to ‘round out’ the topic and further your own ideas.