Recently, the single image super-resolution based on implicit image function is a hot topic, which learns a universal model for arbitrary upsampling scales. By contrast, color-guided depth map ...

In this article, we study how the choices of c relate to varying the right endpoint b. In particular, we ask: When we can write c as a continuous function of b in some interval? As we explore this ...

I regularly recompile the openwrt firmware images every few weeks, however this latest attempt I'm having a new issue now where there's a failure happening during compiling lang/python/python3 due to ...

The objective of this paper is to learn dense 3D shape correspondence for topology-varying generic objects in an unsupervised manner. Conventional implicit functions estimate the occupancy of a 3D ...

What happens is that plot implicit passes its interval math through experimental_lambdify (). When this fails, it is because some function tries to sympify the intervalmath function, resulting in ...

The researchers introduce sinusoidal representation networks (SIRENs) as a method for leveraging periodic activation functions for implicit neural representations and demonstrate their suitability for ...