Search for tag: "outputs"

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Generating Stylized Comic Art With Stable… duration 2 minutes 24 seconds Generating Stylized Comic Art With Stable… Generating Stylized Comic Art With Stable Diffusion, Audrey Zhang, UG '25 (7A3C3CD0)	Generating Stylized Comic Art With Stable Diffusion, Audrey Zhang, UG '25 (7A3C3CD0) Stable Diffusion (SD) and other AI diffusion models can generate images in seconds. These models, however, are trained on millions of images, and sometimes not all are taken with consent. This is… prd24 images models image division model training outputs representations text unit process encoder person errors sfciongenerating tune artists art style From Research Princeton Research Day 2 likes 126 plays Date May 3rd, 2024 Speaker Audrey Zhang, UG '25 (7A3C3CD0) Department Art and Archaeology
Repainting History: A Framework for… duration 3 minutes 7 seconds Repainting History: A Framework for… Repainting History: A Framework for Subject-Specific Image Generation in Historical Painting Styles, Addele Hargenrader, UG '24 (2B9D81E4)	Repainting History: A Framework for Subject-Specific Image Generation in Historical Painting Styles, Addele Hargenrader, UG '24 (2B9D81E4) In the cultural and creative industries, one demonstrated use case for AI is to engage art museum visitors through immersive and interactive exhibits. One such exhibit is the SMK Transformerbot at… model images museum image framework input resemblance painting individuals output control diffusion photographs style styles outputs face net features generate From Research Princeton Research Day 1 likes 90 plays Date May 3rd, 2024 Speaker Addele Hargenrader, UG '24 (2B9D81E4) Department Operations Research and Financial Engineering
Designing Representative Collaborative Policy… duration 14 minutes 0 seconds Designing Representative Collaborative Policy… Designing Representative Collaborative Policy Making	Designing Representative Collaborative Policy Making collaborative policymaking representation collaboration actors agenda participation government outputs interests groups communication meetings attendance performance setting table process meeting council policies From kirtid Das 0 likes 1 plays Speaker Siddiki and Ambrose
Designing Representative Collaborative Policy… duration 13 minutes 55 seconds Designing Representative Collaborative Policy… Designing Representative Collaborative Policy Making	Designing Representative Collaborative Policy Making INFEWS (Innovations at the Nexus of Food-Energy-Water Systems) researchers Graham Ambrose and Saba Siddiki (Syracuse University) share best practices for designing representative collaborative… food energy water representation policymaking actors collaboration agenda participation government outputs interests groups communication meetings attendance performance table process meeting council policies collaborations From Emily Eckart 0 likes 10 plays Date July 1st, 2023 Speaker Graham Ambrose
CITP Seminar: Tal Zarsky and Jane Bambauer: When… duration 59 minutes 3 seconds CITP Seminar: Tal Zarsky and Jane Bambauer: When… CITP Seminar: Tal Zarsky and Jane Bambauer: When Small Change Makes a Big Difference: Algorithmic Equity Among Similarly Situated Individuals	CITP Seminar: Tal Zarsky and Jane Bambauer: When Small Change Makes a Big Difference: Algorithmic Equity Among Similarly Situated Individuals This talk is co-sponsored by CITP and the University Center for Human Values. Al and Bob are very similar, with one specific exception. This exception might pertain to their age, annual salary,… algorithm fairness policy changes difference change law notion point process issue problem decision question issues bit person credit cutoffs differences outcome side context outputs captions_11_4_2020 From CI Center for Information Technology Policy 0 likes 101 plays Date October 20th, 2020 Speaker Tal Zarsky and Jane Bambauer Department Princeton University, Center for Information Technology Policy Location Webinar
cos326-2020-13-01-representation-invariants duration 12 minutes 36 seconds cos326-2020-13-01-representation-invariants cos326-2020-13-01-representation-invariants	cos326-2020-13-01-representation-invariants Reasoning about Modular Programs: Part 1: Representation Invariants cos326 invariant module representation invariance size values operation tree client duplicates outputs function elements functions sets argument implementation lists methods keys From Daniel Macleod 0 likes 210 plays Date August 16th, 2020 Speaker David Walker Department COS Location Princeton NJ