5 citations · 9 across the 5 of their papers we have counts for
5 papers
Volumetric Inverse Rendering via Neural Radiative Transfer
Ntumba Elie Nsampi, Adarsh Djeacoumar, Hans-Peter Seidel +2
Volumetric inverse rendering seeks to recover the optical properties of participating media from images. Existing approaches either rely on differentiable stochastic light transpor…
Learning Neural Antiderivatives
Fizza Rubab, Ntumba Elie Nsampi, Martin Balint +4
Neural fields offer continuous, learnable representations that extend beyond traditional discrete formats in visual computing. We study the problem of learning neural representatio…
Neural Gaussian Scale-Space Fields
Felix Mujkanovic, Ntumba Elie Nsampi, Christian Theobalt +2
Gaussian scale spaces are a cornerstone of signal representation and processing, with applications in filtering, multiscale analysis, anti-aliasing, and many more. However, obtaini…
Neural Field Convolutions by Repeated Differentiation
Ntumba Elie Nsampi, Adarsh Djeacoumar, Hans-Peter Seidel +2
Neural fields are evolving towards a general-purpose continuous representation for visual computing. Yet, despite their numerous appealing properties, they are hardly amenable to s…
SIDNet: Learning Shading-aware Illumination Descriptor for Image Harmonization
Zhongyun Hu, Ntumba Elie Nsampi, Xue Wang +1
Image harmonization aims at adjusting the appearance of the foreground to make it more compatible with the background. Without exploring background illumination and its effects on…