mlsanityData to 14 Oct 2026

Oblique-MERF: Revisiting and Improving MERF for Oblique Photography

arXiv 2404.09531 ↗First posted 15 Apr 2024cs.CV cs.GRcited by 2

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Abstract (arXiv)

Neural implicit fields have established a new paradigm for scene representation, with subsequent work achieving high-quality real-time rendering. However, reconstructing 3D scenes from oblique aerial photography presents unique challenges, such as varying spatial scale distributions and a constrained range of tilt angles, often resulting in high memory consumption and reduced rendering quality at extrapolated viewpoints. In this paper, we enhance MERF to accommodate these data characteristics by introducing an innovative adaptive occupancy plane optimized during the volume rendering process and a smoothness regularization term for view-dependent color to address these issues. Our approach, termed Oblique-MERF, surpasses state-of-the-art real-time methods by approximately 0.7 dB, reduces VRAM usage by about 40%, and achieves higher rendering frame rates with more realistic rendering outcomes across most viewpoints.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 48 of its 65 references that are in the map. First posted on arXiv 15 Apr 2024.

Builds on

48 of 65 references.

References · 48

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36 more
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025DroneSplat: 3D Gaussian Splatting for Robust 3D Reconstruction from In-the-Wild Drone Imagerycited by 22
  2. 2026FreeFix: Boosting 3D Gaussian Splatting via Fine-Tuning-Free Diffusion Modelscited by 2