SyncDreamer for 3D Reconstruction of Endangered Animal Species with NeRF
  and NeuS
Ahmet Haydar Ornek Deniz Sen Esmanur Civil
The main aim of this study is to demonstrate how innovative view synthesis
and 3D reconstruction techniques can be used to create models of endangered
species using monocular RGB images. To achieve this, we employed SyncDreamer to
produce unique perspectives and NeuS and NeRF to reconstruct 3D
representations. We chose four different animals, including the oriental stork,
frog, dragonfly, and tiger, as our subjects for this study. Our results show
that the combination of SyncDreamer, NeRF, and NeuS techniques can successfully
create 3D models of endangered animals. However, we also observed that NeuS
produced blurry images, while NeRF generated sharper but noisier images. This
study highlights the potential of modeling endangered animals and offers a new
direction for future research in this field. By showcasing the effectiveness of
these advanced techniques, we hope to encourage further exploration and
development of techniques for preserving and studying endangered species.