3 papers
cs.RO2026
hint: Hierarchical World Models for Inference-Time Temporal Logic Guidance
Moritz Zoellner, Anastasios Manganaris, Ahmed H. Qureshi +1
A central goal of robot learning is to enable robots to execute rich instructions specified at runtime. Large-scale language-conditioned policies have made substantial progress tow…
cs.GR2026
HairLRM: Strand-based Hair Modeling via Large Reconstruction Models
Yuefan Shen, Yican Dong, Xiufeng Huang +3
The fundamental limitation of traditional strand-based modeling is not simply data scarcity, but the ill-posedness of inferring complex 3D fields from 2D imagery without structural…
cs.GR2025
Auto Hair Card Extraction for Smooth Hair with Differentiable Rendering
Zhongtian Zheng, Tao Huang, Haozhe Su +7
Hair cards remain a widely used representation for hair modeling in real-time applications, offering a practical trade-off between visual fidelity, memory usage, and performance. H…