Phd Position F - M Optimizable Physically-Based Renderers For Forward And Inverse Problems H/F - INRIA

A propos d'Inria

Inria est l'institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l'interface d'autres disciplines. L'institut fait appel à de nombreux talents dans plus d'une quarantaine de métiers différents. 900 personnels d'appui à la recherche et à l'innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'eorce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.PhD Position F/M Optimizable Physically-Based Renderers for Forward and Inverse Problems
Le descriptif de l'offre ci-dessous est en Anglais
Type de contrat : CDD

Niveau de diplôme exigé : Bac +5 ou équivalent

Fonction : Doctorant

A propos du centre ou de la direction fonctionnelle

The Inria centre at Université Côte d'Azur includes 42 research teams and 9 support services. The centre's staff (about 500 people) is made up of scientists of dierent nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d'Azur, CNRS, INRAE, INSERM...), but also with the regiona economic players.

With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d'Azur is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.

Contexte et atouts du poste

The Ph.D. thesis will take place at the GRAPHDECO group () at Inria Sophia Antipolis as part of the ERC Advanced Grant NERPHYS.

Mission confiée

The goal of this thesis will BE the development of renderers that are physically based while also being amenable to optimization problems such as novel view synthesis. This project will involve investigation of physically based differentiable rendering (PBDR) methods [Vicini et al. 2021, Zeltner et al 2021] but also more approximate solutions that are more efficient [Wang et al. 2015], while building on the optimization/neural rendering literature [Diolatzis et al 22] for flexibility. We will BE investigating ways to achieve high computational speeds, extremely flexible optimization capabilities and generalizability levels equal to those of neural rendering methods. The Ph.D. researcg will also involve developing theoretical error bounds and precision control based on the PBDR components.

Bibliography

[Diolatzis et al 22] Stavros Diolatzis, Julien Philip, and George Drettakis. Active exploration for neural global illumination of variable scenes. ACM Transactions on Graphics, 41(5), 2022. http://www-sop.inria.fr/reves/Basilic/2022/ DPD22.

[Kerbl et al. 2023] Bernhard Kerbl, Georgios Kopanas, Thomas Leimk¨uhler, and George Drettakis. 3d gaussian splatting for real-time radiance field rendering. ACM Transactions on Graphics (SIGGRAPH Conference Proceedings), 42(4), July 2023. https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/.

[Vicini et al. 2021] Delio Vicini, S´ebastien Speierer, and Wenzel Jakob. Path replay backpropagation : differentiating light paths
using constant memory and linear time. ACM Transactions on Graphics (TOG), 40(4) :1-14, 2021.

[Wang et al. 2015] Beibei Wang, Xiangxu Meng, and Tamy Boubekeur. Wavelet point-based global illumination. In Computer Graphics Forum, volume 34, pages 143-153. Wiley Online Library, 2015.

[Zeltner et al 2021] Tizian Zeltner, S´ebastien Speierer, Iliyan Georgiev, andWenzel Jakob. Monte carlo estimators for differential
light transport. ACM Transactions on Graphics (TOG), 40(4) :1-16, 2021.

Principales activités

The main activities will involve research in the topic of novel view synthesis using radiance fields in computer graphics.

Compétences

Candidates should have an M.Sc. in Computer Graphics or Computer vision, expertise in both is a plus. A suitable candidate will have Masters level programming and mathematical skills, preferably with some knowledge in computer graphics and/or machine learning. Experience in one or more of C++, OpenGL and GLSL on the graphics side, and tensorflow/pytorch for learning would BE beneficial.

Avantages
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave : 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Contribution to mutual insurance (subject to conditions)

Rémunération

Duration : 36 months
Location : Sophia Antipolis, France
Gross Salary per month : 2200€