Julien Philip received his PhD in 2020 from inria Sophia Antipolis where he worked under the supervision of Dr George Drettakis. Before inria, Julien completed his undergraduate studies in France, pursuing a joint degree at Télécom Paris and ENS Paris-Saclay in Computer Science and Applied Mathematics. His research interests are at the crossroad of Computer Graphics, Vision, and Deep Learning. He is mainly interested in image content edition through the use of machine learning, more specifically relighting pictures, and also in new neural representations to capture and render 3D content. More information is available on his website.


Materialistic: Selecting Similar Materials in Images

Sharma, P., Philip, J., Gharbi, M., Freeman, W., Durand, F., Deschaintre, V. (Aug. 1, 2023)

Siggraph 2023

Active Exploration for Neural Global Illumination of Variable Scenes

Diolatzis, S., Philip, J., Drettakis, G. (Aug. 3, 2022)

ACM Transactions on Graphics (SIGGRAPH 2022)

Point-NeRF: Point-based Neural Radiance Fields

Xu, Q., Xu, Z., Philip, J., Bi, S., Shu, Z., Sunkavalli, K., Neumann, U. (Jun. 19, 2022)


Computer Vision and Pattern Recognition (CVPR'22)

OutCast: Single Image Relighting with Cast Shadows

Griffiths, D., Ritschel, T., Philip, J. (Apr. 25, 2022)

Computer Graphics Forum (Eurographics'2022)

Free-viewpoint Indoor Neural Relighting from Multi-view Stereo

Philip, J., Morgenthaler, S., Gharbi, M., Drettakis, G., Philip, P. (Oct. 1, 2021)

ACM Transactions on Graphics (SIGGRAPH 2022)

Point-Based Neural Rendering with Per-View Optimization

Kopanas, G., Philip, J., Leimkühler, T., Drettakis, G. (Jul. 2, 2021)

Computer Graphics Forum (EGSR 2021)