| dc.contributor.advisor | Sitzmann, Vincent | |
| dc.contributor.author | Xu, Daniel | |
| dc.date.accessioned | 2025-10-06T17:37:13Z | |
| dc.date.available | 2025-10-06T17:37:13Z | |
| dc.date.issued | 2025-05 | |
| dc.date.submitted | 2025-06-23T14:04:21.058Z | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/162966 | |
| dc.description.abstract | We 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. | |
| dc.publisher | Massachusetts Institute of Technology | |
| dc.rights | In Copyright - Educational Use Permitted | |
| dc.rights | Copyright retained by author(s) | |
| dc.rights.uri | https://rightsstatements.org/page/InC-EDU/1.0/ | |
| dc.title | Triangle Splatting | |
| dc.type | Thesis | |
| dc.description.degree | M.Eng. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| mit.thesis.degree | Master | |
| thesis.degree.name | Master of Engineering in Electrical Engineering and Computer Science | |