5 papers
FillGS: Filling Observation Gaps in 4D Gaussian Splatting via Viewpoint-Time Selection and Generative Refinement
Takashi Otonari, Toshihiko Yamasaki
4D Gaussian Splatting (4DGS) can render dynamic scenes photorealistically. However, with limited viewpoint coverage, some spatiotemporal regions remain sparsely observed, leading t…
GUSH3R: Everyone Everywhere All at Once as Gaussians
Keito Abe, Kaede Shiohara, Takashi Otonari +1
Reconstructing dynamic human-scene environments from monocular videos is a challenging problem that requires jointly modeling scene geometry, camera motion, and non-rigid human dyn…
Wild3R: Feed-Forward 3D Gaussian Splatting from Unconstrained Sparse Photo Collection
Yuto Furutani, Takashi Otonari, Kaede Shiohara +1
Feed-forward 3D Gaussian Splatting (3DGS) removes the need for time-consuming per-scene optimization required by traditional 3DGS. However, existing feed-forward approaches struggl…
Jr. AI Scientist and Its Risk Report: Autonomous Scientific Exploration from a Baseline Paper
Atsuyuki Miyai, Mashiro Toyooka, Takashi Otonari +2
Understanding the current capabilities and risks of AI Scientist systems (autoresearch) is essential for ensuring trustworthy and sustainable AI-driven scientific progress while pr…
Non-uniform Sampling Strategies for NeRF on 360{\textdegree} images
Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa
In recent years, the performance of novel view synthesis using perspective images has dramatically improved with the advent of neural radiance fields (NeRF). This study proposes tw…