Maneesh Agrawala (original) (raw)
| Jun 10-14 | 2025 | CVPR, Nashville, TN |
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| Aug 10-14 | 2025 | SIGGRAPH, Vancouver, BC |
Sean Arietta,Adrien Bousseau,Robert Carroll,Lydia Chilton,Will Crichton, Ross Daly,Abe Davis,Ohad Fried,Shiry Ginosar,Ahna Girshick,Madeleine Grunde-McLaughlin,Alex Hall,Jonathan Harper,Jeffrey Heer,Robert Held,Enamul Hoque,Jessica Hullman,Terrell Ibanez,David Jacobs,Jennifer Jacobs,Olga Karpenko,Dae Hyun Kim,Jeongyeon Kim,Juho Kim,Kenrick Kin,Nicholas Kong,Mackenzie Leake,Janel Lee,Jingyi Li,Sean Liu,Anelise Newman,James O'Shea,Amy Pavel,Anyi Rao,Colorado Reed,Jacob Ritchie,Steve Rubin,Jason Sanders,Mira Shalah,Evan Strasnick,Anh Truong,Wesley Willett,Sofia Wyetzner,JiaXian Yao
Maneesh Agrawala is the Forest Baskett Professor of Computer Science and Director of the Brown Institute for Media Innovation at Stanford University. He is also a consulting AI Scientist at Roblox. He works on computer graphics, human computer interaction and visualization. His focus is on investigating how cognitive design principles can be used to improve the effectiveness of audio/visual media. The goals of this work are to discover the design principles and then instantiate them in both interactive and automated design tools. Honors include an Okawa Foundation Research Grant (2006), an Alfred P. Sloan Foundation Fellowship (2007), an NSF CAREER Award (2007), a SIGGRAPH Significant New Researcher Award (2008), a MacArthur Foundation Fellowship (2009), an Allen Distinguished Investigator Award (2014) and induction into the SIGCHI Academy (2021). He was named an ACM Fellow in 2022.
| Oct 14, 2024 | Block and Detail source code available. |
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| Sep 28, 2024 | FlashTex lets you generate relightable textures for 3D models. Source code is here. |
| Jun 21, 2024 | Layer Diffuse source code released. Jointly generate transparent foreground images with corresponding backgrounds. |
| Feb 18, 2024 | Use AnimateDiff for text-to-video generation. Code available. |
| Sep 9, 2023 | ControlNet is out. Adds spatially localized control to Stable Diffusion. Version 1.0, Version 1.1, A1111 WebUI plugin. |
| Aug 28, 2023 | Released EmphasisChecker. Check if your charts and captions emphasize the same things. |
| Mar 29, 2023 | Substack post on generative AI. Unpredictable Black Boxes are Terrible Interfaces. |
| Aug 18, 2021 | Released Flipper with source code. Quilt design tool based on our foundation paper piecing project. |
| Aug 17, 2020 | Stanford Cable TV News Analyzer released. Examine who and what appears in the last decade of CNN, FOX News and MSNBC. |
| Jan 28, 2020 | Data and code for visual question answering with explanations for charts and graphs. |
| Dec 13, 2018 | Source code for dancifying video released, based on our Visual Rhythm and Beat project. |
Analysis of Faces in a Decade of US Cable TV News
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Jeremy Barenholtz
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Ben Hannel
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Michaela Murray
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ACM Conference on Knowledge Discovery & Data Mining (SIGKDD), Aug 2021.
pp. 3011-3021.
PDF | arXiv version (w/ more analysis) | Stanford Cable TV News Analyzer | BibTeX
Analyzing Who and What Appears in a Decade of US Cable TV News
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Jeremy Barenholtz
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Ben Hannel
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Michaela Murray
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arXiv, Aug 2020.
pp. 1-29.
PDF | arXiv | Stanford Cable TV News Analyzer Website | BibTeX
State of the Art on Neural Rendering
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Computer Graphics Forum (Eurographics STAR Report), May 2020.
pp. 1-27.
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Text-based Editing of Talking-head Video
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ACM Transactions on Graphics (SIGGRAPH), 38(4), July 2019.
pp. 68:1-68:14.
PDF | YouTube | Supplementary Material | BibTeX
