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From the 1 of 7 linked papers with an AI index.

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7 papers

cs.GR2026

Meshless Domain Randomization via Explicit Parameter Perturbation of 3D Gaussian Splatting

Felipe Nunes Carbone de Carvalho, Joyce de Morais Souza, Alan de Aguiar +2

Domain Randomization (DR) is a standard technique for closing the Sim-to-Real gap, yet traditional DR pipelines rely on classical computer graphics rendering driven by polygon mesh…

cs.HC2026

Toward Inclusive Avatar Design with Limb Differences Through Artificial Intelligence

Fernanda Miyuki Yamada, João Paulo Gois, Hiroki Takahashi

The paper surveys current techniques for creating 3D avatars that accurately represent people with limb differences and argues that artificial intelligence can help overcome data a…

cs.GR2026

Topo-GS: Continuous Volumetric Embedding of High-Dimensional Data via Topological Gaussian Splatting

João Paulo Gois, Luis Gustavo Nonato

Dimensionality reduction algorithms map high-dimensional data into visualizable 2D or 3D spaces, but traditionally rely on a discrete point-cloud paradigm. This discrete abstractio…

cs.GR2026

The Rise of AI-Generated Anime Avatars: Trends, Challenges, and Opportunities

Fernanda Miyuki Yamada, João Paulo Gois, Hiroki Takahashi

The rise of 3D anime-style avatars in gaming, virtual reality, and other digital media has driven significant interest in automated generation methods capable of capturing their di…

cs.CV2025

HideAndSeg: an AI-based tool with automated prompting for octopus segmentation in natural habitats

Alan de Aguiar, Michaella Pereira Andrade, Charles Morphy D. Santos +1

Analyzing octopuses in their natural habitats is challenging due to their camouflage capability, rapid changes in skin texture and color, non-rigid body deformations, and frequent…

q-bio.OT2025

Reproducibility and scientific interpretation in the age of AI: consilience in biological systematics, ecology, and molecular biology

Charles Morphy D. Santos, Luciana Campos Paulino, Michaella P. Andrade +2

Achieving complete reproducibility in science, particularly in research fields such as biodiversity, is challenging due to analytical choices, bias and interpretation. Here, we exa…