mlsanityData to 14 Oct 2026

Practical High-Fidelity Novel-View Synthesis of Mounted Lepidoptera

arXiv 2606.31679 ↗First posted 30 Jun 2026cs.GR cs.CVcited by 0

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Abstract (arXiv)

Mounted butterflies are among the most striking objects in natural history collections. However, their beauty is notoriously hard to digitize in 3D: they are small and fragile, with microscopic hairs and vein structures. Capturing them in sufficient detail, therefore, requires a macro lens, which has a very limited Depth of Field (DoF). Moreover, a camera body cannot be maneuvered beneath a pinned specimen to photograph its ventral surface. We introduce an end-to-end pipeline that resolves these challenges, turning such specimens into photorealistic 3D models viewable from every direction. It combines three ingredients: handheld focus stacking for all-in-focus macro capture without a tripod, a non-contact first-surface mirror system that exposes the ventral surface without touching the specimen, and a segmentation-free, mirror-aware 3D Gaussian Splatting extension. We validate the reconstructions and design decisions on nine diverse specimens.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 16 of its 35 references that are in the map. First posted on arXiv 30 Jun 2026.

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16 of 35 references.

References · 16

  1. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  2. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  3. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
  4. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,613
  5. 2019SuperGlue: Learning Feature Matching with Graph Neural Networkscited by 1,443
  6. 20242D Gaussian Splatting for Geometrically Accurate Radiance Fieldscited by 1,076
  7. 2018From Coarse to Fine: Robust Hierarchical Localization at Large Scalecited by 559
  8. 2024gsplat: An Open-Source Library for Gaussian Splattingcited by 285
  9. 2021Deblur-NeRF: Neural Radiance Fields from Blurry Imagescited by 179
  10. 2021NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wildcited by 136
  11. 2024MirrorGaussian: Reflecting 3D Gaussians for Reconstructing Mirror Reflectionscited by 21
  12. 2024Mirror-3DGS: Incorporating Mirror Reflections into 3D Gaussian Splattingcited by 18
4 more
  1. 2024DOF-GS:Adjustable Depth-of-Field 3D Gaussian Splatting for Post-Capture Refocusing, Defocus Rendering and Blur Removalcited by 8
  2. 2025DoF-Gaussian: Controllable Depth-of-Field for 3D Gaussian Splattingcited by 6
  3. 2017Capturing natural-colour 3D models of insects for species discoverycited by 1
  4. 2019Perspective-consistent multifocus multiview 3D reconstruction of small objectscited by 1

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