From the 1 of 13 linked papers with an AI index.
13 papers
Agogic: Performance-Timed Music Tokens for LLM-Native Text-to-Symbolic-Music Generation
Junhao Chen, Mingjin Chen, Jingjia Mao +12
Text-to-music language models begin with a choice usually made by default: how to tokenize music. Normally entangled with backbone, data, and recipe, its effect has never been meas…
GO-PRE: Goal-Oriented Next-Best-View Selection via Predictive Rendering Entropy for Active 3D Reconstruction
Yan Song, Zhihao Li, Chenglong Li +3
Active 3D reconstruction relies on active view selection to maximize reconstruction fidelity under limited capture budgets. However, most existing methods rely on surrogate signals…
Video Models as Native 4D Renderers: World-Grounded Conditioning from Animated Mesh
Junhao Chen, Mingjin Chen, Henghaofan Zhang +10
Pretrained video diffusion models can act as renderers when the desired scene state is already specified by an animated mesh, a camera trajectory, and a reference image. This 4D ge…
Bunraku: Turning a Single Illustration into an Editable Live2D Character
Junhao Chen, Jingjia Mao, Dayong Li +6
The paper introduces Bunraku, a system that automatically creates a complete Live2D character—including layered RGBA images, deformation meshes, and animation keyposes—from a singl…
One Video, One World: Turning Monocular Video into Physical 4D Scenes
Junhao Chen, Boran Zhang, Mingjin Chen +7
We introduce \textbf{OVOW}, the first training-free system that reconstructs \emph{instance-level, simulation-ready} 4D mesh scenes from a single monocular video. Recent 4D reconst…
P-DPO: Grounding Hallucination in Perceptual Processing via Calibration Direct Preference Optimization
Ruipeng Zhang, Zhihao Li, Haozhang Yuan +2
Hallucination has recently garnered significant research attention in Large Vision-Language Models (LVLMs). Direct Preference Optimization (DPO) aims to learn directly from the cor…