Scratchpad
INCOMING
- https://vision.berkeley.edu/posts/deep-fakes
- https://uk.pcmag.com/features/95255/when-ai-blurs-the-line-between-reality-and-fiction - 2018-06-07
- https://www.lawfareblog.com/alls-clear-deepfakes-think-again by Robert "Bobby" Chesney, w:Danielle Citron and w:Hany Farid published on 2020-05-11 in w:Lawfare (blog)
- https://www.researchgate.net/scientific-contributions/Supasorn-Suwajanakorn-2056892335
- https://blogs.microsoft.com/on-the-issues/2020/09/01/disinformation-deepfakes-newsguard-video-authenticator/ - announcing the Microsoft Video Authenticator on 2020-09-01
- https://www.techrepublic.com/article/deepfakes-microsoft-and-others-in-big-tech-are-working-to-bring-authenticity-to-videos-photos/
- https://www.ted.com/talks/supasorn_suwajanakorn_fake_videos_of_real_people_and_how_to_spot_them by Supasorn Suwajanakorn at TED2018
- https://www.ted.com/talks/danielle_citron_how_deepfakes_undermine_truth_and_threaten_democracy by w:Danielle Citron at the TEDSummit 2019
- w:Existential risk from artificial general intelligence
- https://www.humane-ai.eu/
Reporting
- 'Dating apps need women. Advertisers need diversity. AI companies offer a solution: Fake people' at washingtonpost.com, 2020-01-07 technology reporting by Drew Harwell
Content moved elsewhere
Digital look-alikes, lighting capture, simulation and relighting
- 'Depth estimation meets inverse rendering for single image novel view synthesis' at dl.acm.org published in CVMP '19: European Conference on Visual Media Production in December 2019
- 'Deep view synthesis from sparse photometric images' at dl.acm.org[1st seen in 1] presented at the w:ACM Transactions on Graphics in July 2019. View or download a video of the presentation of the work from the acm.org-link.
- 'Local light field fusion: practical view synthesis with prescriptive sampling guidelines' at dl.acm.org presented at the w:ACM Transactions on Graphics in July 2019
- 'Deep view synthesis from sparse photometric images' at dl.acm.org presented at the w:ACM Transactions on Graphics in July 2019
- 'Deep reflectance fields: high-quality facial reflectance field inference from color gradient illumination' at dl.acm.org[1st seen in 2] presented at the w:ACM Transactions on Graphics in July 2019. View or download video of the presentation of the work from the acm.org link.
- 'High-fidelity facial reflectance and geometry inference from an unconstrained image' at dl.acm.org[1st seen in 2], a w:deep learning-based technique described in a paper presented at the w:ACM Transactions on Graphics in July 2018
- 'Computational Methods for Capture and Reproduction of Photorealistic Surface Appearance' at aaltodoc.aalto.fi, a 2016 doctoral dissertation by Miika Aittala at the w:Aalto University
- 'Face Modelling and Tracking from Range Scans' at researchgate.net (.pdf available), a January 2010 paper
- 'Facial Modeling and Animation' at researchgate.net by Jörg Haber of the w:Max Planck Institute for Informatics (August 2004)
Digital sound-alikes
- 'Generative Adversarial Networks for Speech Synthesis' at aaltodoc.aalto.fi, a master's thesis by Kasperi Palkama from June 2020 in w:Aalto University[1st seen in 3]
AI
- "Shall We Play a Game?: The Rise of the Military-Entertainment Complex" at transcend.org[1st seen in 4] (2013-09-23)
- "Synthetic media, ethics, & commercial potential" at samsungnext.com (2020-11-07)
- "Facebook is using more AI to detect hate speech" at venturebeat.com (2020-05-12)
- Harvest [1] for info on companies and their products and services.
Assesments
- 'Deepfakes and Synthetic Media in the Financial System: Assessing Threat Scenarios' at carnegieendowment.org, a 2020-07-08 assesment identifies some types of criminalities that can be made using synthetic human-like fakes.
Synthetic media landscape
- https://www.syntheticmedialandscape.com/ by Samsung Next. Downloading the guide requires contact info. Source of https://venturebeat.com/wp-content/uploads/2020/08/Synthethic-Media-Landscape.jpg that is a chart of the industry
Sources for links
Misc.
References
1st seen in
- ↑ Recommended by w:ACM system at https://dl.acm.org/doi/10.1145/3306346.3323027
- ↑ 2.0 2.1 recommended by w:ACM system at https://dl.acm.org/doi/10.1145/344779.344855
- ↑ https://www.google.com/alerts for w:Generative adversarial network
- ↑ w:Institute for Creative Technologies