Abstract
dc:description.abstractWe develop a differentiable rendering method for recovering 3D meshes of scenes from 2D images. Unlike existing approaches, our method does not rely on a differentiable renderers and is compatible with any standard mesh rasterizer. To our knowledge, it is the first mesh-based differentiable rendering method that is not reliant the use of visibility masks entirely. Beyond these conceptual advancements, we implemented a set of highly optimized kernels that enable efficient scene representation on a sparse voxel grid, effectively overcoming the cubic scaling bottleneck faced by similar methods. These innovations result in promising performance on unbounded real-world scenes with complex backgrounds.
Degree
thesis:*- Name thesis:degree_name
- Master
- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2025
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Xu, Daniel
- Advisor dc:contributor.advisor
-
- Sitzmann, Vincent
Rights
dc:rights- Statement dc:rights
-
- In Copyright - Educational Use Permitted
- Copyright retained by author(s)
- Licence dc:rights.uri
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/1721.1/162966
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/162966