4 papers
The Implicit Bias of Hyperbolic Representation Learning for Multiclass Data: A Busemann Risk Perspective
Xingrun Li, Sho Kuno, Yusuke Mukuta +2
We study the implicit bias of Riemannian gradient flow for hyperbolic multiclass classification with fixed class prototypes in hyperbolic space . Our framework accomm…
EditHero: A Benchmark for Long-Horizon Part-Level 3D Editing and Vibe Modeling
Ruihan Yu, Yu-Ju Tsai, Muyao Niu +9
3D editing methods are usually tested on a single edit, yet an asset is built through a long sequence of revisions, each of which must implement the requested change while leaving…
KaiNinja: Extending Native 3D Generators to the Part Level
Ruihan Yu, Lian Fu, Muyao Niu +9
Native 3D generators turn one image into a single mesh. TRELLIS.2 and its peers deliver high-fidelity non-watertight geometry with materials, but the output is one fused object, wh…
Co-training with Ego-centric Video and Demonstration for Robot Navigation Task
Shoya Kuno, Yumo Ouchi, Kanata Suzuki
Vision-language-action (VLA) models are promising for diverse robotic tasks, but their performance heavily depends on large-scale high-quality training data, whose collection on re…