If you are interested in doing a research project (“semester project”) or a master’s project at IVRL, you can do this through the Master Programs in Communication Systems or in Computer Science. Note you must be accredited to EPFL. This page lists available semester/master’s projects for the Spring 2025 semester.
For any other type of applications (research assistantship, internship, etc), please check this page.
Description:
Recent advances in neural rendering-based 3D scene reconstruction have demonstrated strong capacity in representing visually plausible real-world scenes. However, most of them rely heavily on dense multi-view captures and therefore restricted from broader applicability.
In this project, we aim to exploit the strong priors of latent-based video diffusion model for synthesizing high-fidelity novel views of generic scenes from single or sparse input captures. We adopt radiance field as the scene representation and explore the implicit 3D understanding and intra-frame attention-correlation exhibited in video diffusion models in place for the multi-view capture input in prior works.
Type of work:
- MS Level: semester project/master project
- 65% research, 35% development
Prerequisite:
- Knowledge in deep learning frameworks (e.g., PyTorch or Tensorflow), image processing and Computer Vision.
- Experience with 3D vision is required (e.g. course taken, independent projects, etc. )
Supervisor:
- Dongqing Wang, [email protected]
Reference Literature:
- High-resolution image synthesis with latent diffusion models
- ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis
- FSGS: Real-time few-shot view synthesis using gaussian splatting