1 citations · 1 across the 2 of their papers we have counts for
3 papers
Beyond Realism: Learning the Art of Expressive Composition with StickerNet
Haoming Lu, David Kocharian, Humphrey Shi
As a widely used operation in image editing workflows, image composition has traditionally been studied with a focus on achieving visual realism and semantic plausibility. However,…
Distilling Normalizing Flows
Steven Walton, Valeriy Klyukin, Maksim Artemev +3
Explicit density learners are becoming an increasingly popular technique for generative models because of their ability to better model probability distributions. They have advanta…
CompactFlowNet: Efficient Real-time Optical Flow Estimation on Mobile Devices
Andrei Znobishchev, Valerii Filev, Oleg Kudashev +2
We present CompactFlowNet, the first real-time mobile neural network for optical flow prediction, which involves determining the displacement of each pixel in an initial frame rela…