by Melanie Cadalbert | Jun 4, 2023 | Rendering, Video Processing, Visual Computing
Video Compression with Entropy-Constrained Neural Representations We propose a novel convolutional architecture for video representation that better represents spatio-temporal information and a training strategy capable of jointly optimizing rate and distortion. June...
by Melanie Cadalbert | Jun 4, 2023 | Rendering, Video Processing, Visual Computing
Frame Interpolation Transformer and Uncertainty Guidance We propose a transformer-based VFI architecture that processes both source and target frames in a unified framework and compensates motion through a tightly integrated optical flow estimation and cross-backward...
by Melanie Cadalbert | Jun 4, 2023 | Capture
Kernel Aware Resampler In this paper we propose a framework for generic image resampling that not only addresses all the mentioned issues in the paper but extends the sets of possible transforms from upscaling to generictransforms. June 4, 2023 IEEE Conference on...
by Melanie Cadalbert | May 7, 2023 | Rendering, Visual Computing
Physics-Informed Neural Corrector for Deformation-based FluidControl We present a method to rectify deformed fluid flows using neural networks. Our neural corrector ensures the physical plausibilityof edited simulation footprints at test time, enabling interactive...
by Sarah Frigg | Jan 3, 2023 | Capture, Machine Learning, VFX
Self-Supervised Effective Resolution Estimation with Adversarial Augmentations We demonstrate that our method outperforms state-of-the-art image quality assessment methods in estimating the sharpness of real and generated human faces. January 3, 2023 IEEE Winter...
