5 papers
Automating Agentic Workflow Generation via Self-Adaptive Abstraction Operators
Mingming Zhao, Xiaokang Wei, Yuanqi Shao +5
Large language models (LLMs) have shown strong potential in automating the design of agentic workflows. However, existing methods still rely heavily on manually predefined operator…
IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects
Xiaokang Wei, Zizheng Yan, Zhangyang Xiong +3
Estimating albedo (a.k.a., intrinsic image decomposition) from single RGB images captured in real-world environments (e.g., the MVImgNet dataset) presents a significant challenge d…
Nautilus: Locality-aware Autoencoder for Scalable Mesh Generation
Yuxuan Wang, Xuanyu Yi, Haohan Weng +6
Triangle meshes are fundamental to 3D applications, enabling efficient modification and rasterization while maintaining compatibility with standard rendering pipelines. However, cu…
SIR: Multi-view Inverse Rendering with Decomposable Shadow Under Indoor Intense Lighting
Xiaokang Wei, Zhuoman Liu, Ping Li +1
We propose SIR, an efficient method to decompose differentiable shadows for inverse rendering on indoor scenes using multi-view data, addressing the challenges in accurately decomp…
PBR3DGen: A VLM-guided Mesh Generation with High-quality PBR Texture
Xiaokang Wei, Bowen Zhang, Xianghui Yang +4
Generating high-quality physically based rendering (PBR) materials is important to achieve realistic rendering in the downstream tasks, yet it remains challenging due to the intert…