Realtime Face Reenactment_[2016]
A novel approach for real-time facial reenactment of a monocular target video sequence.… Read More
Image Synthesis through semantic manipulation_[2017]
A new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs).… Read More
Interactive AI rendered 3d World_[2018]
This AI breakthrough will allow developers and artists to create new interactive 3D virtual worlds for automotive, gaming or virtual reality by training models on videos from the real world.… Read More
AI Reconstructs Photos with Realistic Results by NIVIDIA_[2018]
Researchers from NVIDIA, led by Guilin Liu, introduced a state-of-the-art deep learning method that can edit images or reconstruct a corrupted image, one that has holes or is missing pixels.… Read More
Tranform Video from Winter to Summer / Day to night_[2017]
Nvidia researchers developed a way to turn snowy roads into summer, and day into night.… Read More
Deepfakes Real Consequences _[2018]
Real consequences of Deepfakes explained.… Read More
True AI creativity is coming and will reveal the minds of machines_[2019]
Creative AI in the arts.… Read More
NeuralRadianceFields_[2020]
http://www.matthewtancik.com/nerf A method that achieves state-of-the-art results for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views.
DeepFake from Video Source [2020]
Researchers from Nanyang Technological University in Singapore, the National Laboratory of Pattern Recognition in China, and artificial intelligence software company SenseTime developed the method for creating deepfakes from audio sources. https://www.vice.com/en_us/article/g5xvk7/researchers-created-a-way-to-make-realistic-deepfakes-from-audio-clips?utm_source=digg
DeepFake with master impressionist [2020]
A deep fake comparison, in collaboration with Hollywood impressionist Jim Meskimen. Created using DeepFaceLabs Interessanterweise ist die Codebasis hinter dem Video open source: https://github.com/iperov/DeepFaceLab https://www.youtube.com/watch?v=K98nTNjXkq8 Ein “behind the scenes” aus dem Herbst, mit dem selben Mann: https://www.youtube.com/watch?v=Wm3squcz7Aw Für Performance wäre … Read More