Oblique-MERF: Revisiting and Improving MERF for Oblique Photography
Xiaoyi Zeng Kaiwen Song Leyuan Yang Bailin Deng Juyong Zhang
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.