1. Let Computer Draw Qingyuan Kong

2. Goal Give me a picture “Obama stands in front of a pyramid”

3. Goal Here you are!

4. Analogy knowledge Database/internet What does obama look like? What does pyramid look like? Search obama Search pyramid

5. Approach

6. let computer learn to extract “Obama” out – Training an extractor with Labelme – Use segmentation algorithm just on the obtained data set Reference: [1] Tomasz Malisiewicz and Alexei A. Efros. Improving spatial support for ob jects via multiple segmentations. BMVC, 2007. [2] Bryan C. Russell, Alexei A. Efros, Josef Sivic, William T. Freeman, and Andrew Zis- serman. Using multiple segmentations to discover ob jects and their extent in image collections. CVPR, 2006.

7. Approach Find the best background to place “obama”

8. Approach Find the best position to place “Obama” – Compare the marginal pixels with the background – Adjust Reference: James Hays and Alexei A. Efros. Scene completion using millions of photographs. SIGGRAPH, 2007. Ce Liu, Jenny Yuen, Antonio Torralba, Josef Sivic, and William T. Freeman. Sift flow: dense correspondence across difference scenes. ECCV, 2004.

9. Finally

10. Data sets Labelme google image bing image

11. Evaluation of Success make the computer put some classes of objects, such like people, cars, into a background, the compound of which looks real and with few artifacts.

12. milestone make the computer be able to draw at least one class of objects in at least one class of background.