Category: A.I.

www.nvidia.com/en-us/studio/canvas/

arxiv.org/pdf/2111.15078.pdf

zengxianyu.github.io/sketchedit/

github.com/zengxianyu/sketchedit

arxiv.org/pdf/2111.05826.pdf

iterative-refinement.github.io/palette/

github.com/bryandlee/animegan2-pytorch

intel-isl.github.io/PhotorealismEnhancement/

augmentedperception.github.io/total_relighting/

nostarch.com/deep-learning-visual-approach

eulerian.cs.washington.edu/

http://www.cgchannel.com/2021/03/nukes-air-toolset-lets-you-train-your-own-neural-networks/

(runs on Chrome)
storage.googleapis.com/chimera-painter/index.html

techcrunch-com.cdn.ampproject.org/c/s/techcrunch.com/2020/11/17/google-has-created-an-ai-powered-nightmare-creature-generator/amp/

www.awn.com/news/autodesk-shotgun-taps-new-tech-future-production-management

With Autodesk’s acquisition of technology known as Consilium, machine learning-driven generative scheduling is coming to Shotgun Software, which will enable more accurate bidding, scheduling, and resource planning decisions.

Machine learning is being brought to production management with generative scheduling in Shotgun, currently in early testing. For producers and production managers, this will make the manual and complex challenge of optimized scheduling and resource planning more dynamic, controllable, and predictive. This feature set will allow producers to plan faster, with greater accuracy and agility to help their teams produce the best work possible.

www.awn.com/news/secret-weapons-announces-ebsynth-rotoscopy-automation-tool-beta

developer.nvidia.com/maxine?ncid=so-yout-26905#cid=dl13_so-yout_en-us