feedback

I think this page was generally well-written and was interesting with enough detail and a logical structure, well done! It was good to see examples. I would have liked more on the applications of cGANs maybe in the introduction part? To really motivate solving the image-to-image translations - like what kind of real-world problems are actually getting solved by using images this way? 19/20

(5) The topic is relevant for the course.

(5) The writing is clear and the English is good.

(5) The page is written at an appropriate level for CPSC 522 students (where the students have diverse backgrounds).

(5) The formalism (definitions, mathematics) was well chosen to make the page easier to understand.

(5) The abstract is a concise and clear summary.

(5) There were appropriate (original) examples that helped make the topic clear.

(-) There was appropriate use of (pseudo-) code.

(5) It had a good coverage of representations, semantics, inference and learning (as appropriate for the topic).

(5) It is correct.

(4) It was neither too short nor too long for the topic. (maybe needs more info on motivation? and more explanation in simple language on what the conditioning provides)

(5) It was an appropriate unit for a page (it shouldn't be split into different topics or merged with another page).

(5) It links to appropriate other pages in the wiki.

(5) The references and links to external pages are well chosen.

(5) I would recommend this page to someone who wanted to find out about the topic.

(4) This page should be highlighted as an exemplary page for others to emulate.