SparseDR: Differentiable Rendering of Sparse Signed Distance Fields
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Demo Track. Pages 8371-8374.
https://doi.org/10.24963/ijcai.2026/959
Keywords
- AI: Computer Vision
- AI: Machine Learning
Abstract
We present SparseDR, a novel differentiable rendering algorithm designed for sparse representations based on Signed Distance Fields (SDF). We leverage the Sparse Brick Set representation and propose an adaptation of redistancing for sparse SDFs. This enables SparseDR to surpass existing works in accuracy of surface reconstruction by increasing the effective resolution of the SDF representation. SparseDR is efficiently implemented in C++ and Vulkan, achieving several times shorter reconstruction time than other methods.
@inproceedings{ijcai2026p959,
title = {SparseDR: Differentiable Rendering of Sparse Signed Distance Fields},
author = {Budak, Alexey and Garifullin, Albert and Frolov, Vladimir},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {8371--8374},
year = {2026},
month = {8},
note = {Demo Track},
doi = {10.24963/ijcai.2026/959},
url = {https://doi.org/10.24963/ijcai.2026/959},
}
TY - CPAPER TI - SparseDR: Differentiable Rendering of Sparse Signed Distance Fields AU - Budak, Alexey AU - Garifullin, Albert AU - Frolov, Vladimir T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 8371 EP - 8374 DO - 10.24963/ijcai.2026/959 UR - https://doi.org/10.24963/ijcai.2026/959 ER -Copied
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