53 citations · 68 across the 14 of their papers we have counts for
4 papers · 1 filter
Monte Carlo Rendering to Diffusion Curves with Differential BEM
Ryusuke Sugimoto, Christopher Batty, Siddhartha Chaudhuri +4
We present a method for generating vector graphics, in the form of diffusion curves, directly from noisy samples produced by a Monte Carlo renderer. While generating raster images…
Fine-Grained Spatially Varying Material Selection in Images
Julia Guerrero-Viu, Michael Fischer, Iliyan Georgiev +4
Selection is the first step in many image editing processes, enabling faster and simpler modifications of all pixels sharing a common modality. In this work, we present a method fo…
IntrinsicEdit: Precise generative image manipulation in intrinsic space
Linjie Lyu, Valentin Deschaintre, Yannick Hold-Geoffroy +5
Generative diffusion models have advanced image editing with high-quality results and intuitive interfaces such as prompts and semantic drawing. However, these interfaces lack prec…
Residual path integrals for re-rendering
Bing Xu, Tzu-Mao Li, Iliyan Georgiev +2
Conventional rendering techniques are primarily designed and optimized for single-frame rendering. In practical applications, such as scene editing and animation rendering, users f…