Abstract: Neural implicit functions including signed distance functions (SDFs) and unsigned distance functions (UDFs) have shown powerful ability in fitting the shape geometry. However, inferring ...

This is the official implementation of our paper Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolution, accepted by the International Conference on Image Processing (ICIP), 2022.

Abstract: Implicit Neural Representation (INR), which utilizes a neural network to map coordinate inputs to corresponding attributes, is causing a revolution in the field of signal processing. However ...

Various applications require 3D avatars that are realistic, artifact-free, and animatable. However, traditional 3D morphable models (3DMMs) produce animatable 3D heads but fail to capture accurate ...