The EMOTIVE Project - Emotive Virtual Cultural Experiences through Personalized Storytelling. - Akrivi Katifori; Maria Roussou; Sara Perry; George Drettakis; Sebastian Vizcay; Julien Philip (CIRA@EuroMed, 2018)

Plane-based multi-view inpainting for image-based rendering in large scenes. - Julien Philip; George Drettakis (I3D, 2018)

Deep blending for free-viewpoint image-based rendering. - Peter Hedman; Julien Philip; True Price; Jan-Michael Frahm; George Drettakis; Gabriel J. Brostow (ACM Trans. Graph., 2018)

Multi-view relighting using a geometry-aware network. - Julien Philip; Michaël Gharbi; Tinghui Zhou; Alexei A. Efros; George Drettakis (ACM Trans. Graph., 2019)

Repurposing a Relighting Network for Realistic Compositions of Captured Scenes. - Baptiste Nicolet; Julien Philip; George Drettakis (I3D, 2020)

Point-Based Neural Rendering with Per-View Optimization. - Georgios Kopanas; Julien Philip; Thomas Leimkühler; George Drettakis (Comput. Graph. Forum, 2021)

Free-viewpoint Indoor Neural Relighting from Multi-view Stereo. - Julien Philip; Sébastien Morgenthaler; Michaël Gharbi; George Drettakis (ACM Trans. Graph., 2021)

Multi-view image-based editing and rendering through deep learning and optimization. (Édition et rendu à base d'images multi-vues par apprentissage profond et optimisation). - Julien Philip (2021)

Point-NeRF: Point-based Neural Radiance Fields. - Qiangeng Xu; Zexiang Xu; Julien Philip; Sai Bi; Zhixin Shu; Kalyan Sunkavalli; Ulrich Neumann (CVPR, 2022)

OutCast: Outdoor Single-image Relighting with Cast Shadows. - David Griffiths; Tobias Ritschel 001; Julien Philip (Comput. Graph. Forum, 2022)

Active Exploration for Neural Global Illumination of Variable Scenes. - Stavros Diolatzis; Julien Philip; George Drettakis (ACM Trans. Graph., 2022)

PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing. - Yichen Sheng; Jianming Zhang 001; Julien Philip; Yannick Hold-Geoffroy; Xin Sun 014; He Zhang 004; Lu Ling; Bedrich Benes (CVPR, 2023)

Floaters No More: Radiance Field Gradient Scaling for Improved Near-Camera Training. - Julien Philip; Valentin Deschaintre (EGSR (ST), 2023)

Radiance Field Gradient Scaling for Unbiased Near-Camera Training. - Julien Philip; Valentin Deschaintre (CoRR, 2023)

Materialistic: Selecting Similar Materials in Images. - Prafull Sharma; Julien Philip; Michaël Gharbi; Bill Freeman; Frédo Durand; Valentin Deschaintre (ACM Trans. Graph., 2023)

RRM: Relightable Assets Using Radiance Guided Material Extraction. - Diego Gomez 003; Julien Philip; Adrien Kaiser; Élie Michel (CGI (1), 2024)

LightIt: Illumination Modeling and Control for Diffusion Models. - Peter Kocsis 001; Julien Philip; Kalyan Sunkavalli; Matthias Nießner; Yannick Hold-Geoffroy (CVPR, 2024)

DATENeRF: Depth-Aware Text-Based Editing of NeRFs. - Sara Rojas 001; Julien Philip; Kai Zhang 045; Sai Bi; Fujun Luan; Bernard Ghanem; Kalyan Sunkavalli (ECCV (11), 2024)

IntrinsicDiffusion: Joint Intrinsic Layers from Latent Diffusion Models. - Jundan Luo; Duygu Ceylan; Jae Shin Yoon; Nanxuan Zhao; Julien Philip; Anna Frühstück; Wenbin Li 002; Christian Richardt; Tuanfeng Y. Wang (SIGGRAPH (Conference Paper Track), 2024)

Fast and Uncertainty-Aware SVBRDF Recovery from Multi-View Capture using Frequency Domain Analysis. - Ruben Wiersma; Julien Philip; Milos Hasan; Krishna Mullia; Fujun Luan; Elmar Eisemann; Valentin Deschaintre (CoRR, 2024)

A Diffusion Approach to Radiance Field Relighting using Multi-Illumination Synthesis. - Yohan Poirier-Ginter; Alban Gauthier; Julien Philip; Jean-François Lalonde; George Drettakis (Comput. Graph. Forum, 2024)

Lux Post Facto: Learning Portrait Performance Relighting with Conditional Video Diffusion and a Hybrid Dataset. - Yiqun Mei; Mingming He; Li Ma; Julien Philip; Wenqi Xian; David M. George; Xueming Yu; Gabriel Dedic; Ahmet Levent Tasel; Ning Yu 006; Vishal M. Patel; Paul E. Debevec (CVPR, 2025)

JoIN: Joint GANs Inversion for Intrinsic Image Decomposition. - Viraj Shah; Svetlana Lazebnik; Julien Philip (Trans. Mach. Learn. Res., 2025)