2 papers
cs.GR2026
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…
cs.GR2025
Learning Image Fractals Using Chaotic Differentiable Point Splatting
Adarsh Djeacoumar, Felix Mujkanovic, Hans-Peter Seidel +1
Fractal geometry, defined by self-similar patterns across scales, is crucial for understanding natural structures. This work addresses the fractal inverse problem, which involves e…