From the 1 of 20 linked papers with an AI index.
20 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…
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…
Engine-Native Editable 3D World Reconstruction with Objects and Lighting
Junhao Chen, Xinghao Chen, Henghaofan Zhang +8
Editable 3D scene creation requires object instances and lights that can be inspected, moved, and imported into standard engines, yet existing single-image methods largely stop at…
PairCoder++: Pair Programming as a Universal Paradigm for Verified Code-Driven Multimodal and Structured-Artifact Generation
Junhao Chen, Xiang Li, Mingjin Chen +9
Code is the medium through which large language models generate structured artifacts: charts, scientific figures, vector graphics, CAD models, 3D scenes, and hardware designs are a…
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…