17 citations · 32 across the 11 of their papers we have counts for
11 papers
Lighting-Consistent Object Transfer Across Radiance Fields
Nicolás Violante, George Kopanas, Linus Franke +2
3D Gaussian Splatting (3DGS) is widely used to capture and render real scenes. Compositing objects from one capture into another has applications in many domains, such as VFX, arch…
A Diffusion Approach to Radiance Field Relighting using Multi-Illumination Synthesis
Yohan Poirier-Ginter, Alban Gauthier, Julien Philip +2
Relighting radiance fields is severely underconstrained for multi-view data, which is most often captured under a single illumination condition; It is especially hard for full scen…
Floaters No More: Radiance Field Gradient Scaling for Improved Near-Camera Training
Julien Philip, Valentin Deschaintre
NeRF acquisition typically requires careful choice of near planes for the different cameras or suffers from background collapse, creating floating artifacts on the edges of the cap…
Materialistic: Selecting Similar Materials in Images
Prafull Sharma, Julien Philip, Michaël Gharbi +3
Separating an image into meaningful underlying components is a crucial first step for both editing and understanding images. We present a method capable of selecting the regions of…
JoIN: Joint GANs Inversion for Intrinsic Image Decomposition
Viraj Shah, Svetlana Lazebnik, Julien Philip
Intrinsic Image Decomposition (IID) is a challenging inverse problem that seeks to decompose a natural image into its underlying intrinsic components such as albedo and shading. Wh…
PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing
Yichen Sheng, Jianming Zhang, Julien Philip +5
Lighting effects such as shadows or reflections are key in making synthetic images realistic and visually appealing. To generate such effects, traditional computer graphics uses a…
OutCast: Outdoor Single-image Relighting with Cast Shadows
David Griffiths, Tobias Ritschel, Julien Philip
We propose a relighting method for outdoor images. Our method mainly focuses on predicting cast shadows in arbitrary novel lighting directions from a single image while also accoun…
Active Exploration for Neural Global Illumination of Variable Scenes
Stavros Diolatzis, Julien Philip, George Drettakis
Neural rendering algorithms introduce a fundamentally new approach for photorealistic rendering, typically by learning a neural representation of illumination on large numbers of g…
Point-NeRF: Point-based Neural Radiance Fields
Qiangeng Xu, Zexiang Xu, Julien Philip +4
Volumetric neural rendering methods like NeRF generate high-quality view synthesis results but are optimized per-scene leading to prohibitive reconstruction time. On the other hand…
Point-Based Neural Rendering with Per-View Optimization
Georgios Kopanas, Julien Philip, Thomas Leimkühler +1
There has recently been great interest in neural rendering methods. Some approaches use 3D geometry reconstructed with Multi-View Stereo (MVS) but cannot recover from the errors of…
Free-viewpoint Indoor Neural Relighting from Multi-view Stereo
Julien Philip, Sébastien Morgenthaler, Michaël Gharbi +1
We introduce a neural relighting algorithm for captured indoors scenes, that allows interactive free-viewpoint navigation. Our method allows illumination to be changed syntheticall…