LIRIS seminar by James Tompkin: "Scene Reconstruction across the Differentiable Rendering Spectrum"

We are welcoming James Tompkin (Brown University) for a LIRIS seminar around 3d reconstruction and differentiable rendering, for a talk titled "Scene Reconstruction across the Differentiable Rendering Spectrum", Tuesday, December 14 at 10am, room Nautibus C5.

On 14/12/2021 at 10:00 to 11:00. Nautibus, C5
Informations contact : Nicolas Bonneel.

Scene reconstruction enables applications across visual computing, including media creation and editing, and capturing the real-world for virtual tourism and telecommunication. Advances in differentiable rendering for optimization- and learning-based reconstruction have increased quality but, as in 'forward' rendering, different methods have varying capabilities and computational costs that must be traded off against application needs. I will discuss our recent view reconstruction projects across the differentiable rendering spectrum, covering work on 6DoF video via image-based rendering for VR (, depth reconstruction from sparse 3D points using differentiable splatting and diffusion (, and integrating time-of-flight imaging for monocular dynamic scene reconstruction ( Finally, I will discuss how these trade-offs might inform how we can make differentiable rendering practical.

Short bio:
James Tompkin ( is an assistant professor of Computer Science at Brown University. His research at the intersection of computer vision, computer graphics, and human-computer interaction helps develop new visual computing tools and experiences. His doctoral work at University College London on large-scale video processing and exploration techniques led to creative exhibition work in the Museum of the Moving Image in New York City. Postdoctoral work at Max-Planck-Institute for Informatics and Harvard University helped create new methods to edit content within images and videos. Recent research has developed new multi-camera reconstruction techniques for light field, 360, and time-of-flight imagery, and has developed new image editing and generation methods through learning explicit structured representations.