Researcher, ByteDance Inc.
3 papers at NeurIPS 2025
We trained MeshLLM, an Object-to-Code inference framework that generates Blender Python scripts to reconstruct 3D meshes from point clouds in a structured and editable manner.
We present LangSplatV2, which achieves high-dimensional feature splatting at 476.2 FPS and 3D open-vocabulary text querying at 384.6 FPS for high-resolution images.
This paper introduces the concept of co-adaptation in 3D Gaussian Splatting, analyzes its impact on rendering artifacts, and proposes strategies to reduce it.
