Julien Philip

Orcid: 0000-0003-3125-1614

According to our database1, Julien Philip authored at least 29 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DiffHDR: Re-Exposing LDR Videos with Video Diffusion Models.
CoRR, April, 2026

2025
Detail Enhanced Gaussian Splatting for Large-Scale Volumetric Capture.
ACM Trans. Graph., December, 2025

Lighting in Motion: Spatiotemporal HDR Lighting Estimation.
CoRR, December, 2025

Virtually Being: Customizing Camera-Controllable Video Diffusion Models with Multi-View Performance Captures.
CoRR, October, 2025

JoIN: Joint GANs Inversion for Intrinsic Image Decomposition.
Trans. Mach. Learn. Res., 2025

Virtually Being: Customizing Camera-Controllable Video Diffusion Models with Volumetric Performance Captures.
Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

Uncertainty for SVBRDF Acquisition using Frequency Analysis.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2025

Lux Post Facto: Learning Portrait Performance Relighting with Conditional Video Diffusion and a Hybrid Dataset.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
A Diffusion Approach to Radiance Field Relighting using Multi-Illumination Synthesis.
Comput. Graph. Forum, July, 2024

Fast and Uncertainty-Aware SVBRDF Recovery from Multi-View Capture using Frequency Domain Analysis.
CoRR, 2024

IntrinsicDiffusion: Joint Intrinsic Layers from Latent Diffusion Models.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

DATENeRF: Depth-Aware Text-Based Editing of NeRFs.
Proceedings of the Computer Vision - ECCV 2024, 2024

LightIt: Illumination Modeling and Control for Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

RRM: Relightable Assets Using Radiance Guided Material Extraction.
Proceedings of the Advances in Computer Graphics, 2024

2023
Materialistic: Selecting Similar Materials in Images.
ACM Trans. Graph., August, 2023

Radiance Field Gradient Scaling for Unbiased Near-Camera Training.
CoRR, 2023

Floaters No More: Radiance Field Gradient Scaling for Improved Near-Camera Training.
Proceedings of the 34th Eurographics Symposium Rendering, 2023

PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Active Exploration for Neural Global Illumination of Variable Scenes.
ACM Trans. Graph., 2022

OutCast: Outdoor Single-image Relighting with Cast Shadows.
Comput. Graph. Forum, 2022

Point-NeRF: Point-based Neural Radiance Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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).
PhD thesis, 2021

Free-viewpoint Indoor Neural Relighting from Multi-view Stereo.
ACM Trans. Graph., 2021

Point-Based Neural Rendering with Per-View Optimization.
Comput. Graph. Forum, 2021

2020
Repurposing a Relighting Network for Realistic Compositions of Captured Scenes.
Proceedings of the I3D '20: Symposium on Interactive 3D Graphics and Games, 2020

2019
Multi-view relighting using a geometry-aware network.
ACM Trans. Graph., 2019

2018
Deep blending for free-viewpoint image-based rendering.
ACM Trans. Graph., 2018

Plane-based multi-view inpainting for image-based rendering in large scenes.
Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2018

The EMOTIVE Project - Emotive Virtual Cultural Experiences through Personalized Storytelling.
Proceedings of the Workshop on Cultural Informatics Research and Applications co-located with the International Conference on Digital Heritage, 2018


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