We propose to use pretraining to boost general image-to-image translation.
Ranked #1 on Sketch-to-Image Translation on COCO-Stuff
We propose pose-guided multiplane image (MPI) synthesis which can render an animatable character in real scenes with photorealistic quality.
A progressive propagation strategy with pseudo labels is also proposed to enhance DVP's performance on video propagation.
Although recent inpainting approaches have demonstrated significant improvements with deep neural networks, they still suffer from artifacts such as blunt structures and abrupt colors when filling in the missing regions.
With this principle, we present two conceptually simple and yet computational efficient modules, namely Cascade Prediction Fusion (CPF) and Pose Graph Neural Network (PGNN), to exploit underlying contextual information.
Ranked #8 on Pose Estimation on MPII Human Pose