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cs.CV2026
MathGen: Revealing the Illusion of Mathematical Competence through Text-to-Image Generation
Ruiyao Liu, Hui Shen, Ping Zhang +16
Modern generative models have demonstrated the ability to solve challenging mathematical problems. In many real-world settings, however, mathematical solutions must be expressed vi…
cs.CV2026
MatPedia: A Universal Generative Foundation for High-Fidelity Material Synthesis
Di Luo, Shuhui Yang, Mingxin Yang +6
Physically-based rendering (PBR) materials are fundamental to photorealistic graphics, yet their creation remains labor-intensive and requires specialized expertise. While generati…
cs.CV2024
GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation
Jiawei Lu, Yingpeng Zhang, Zengjun Zhao +3
Large-scale text-guided image diffusion models have shown astonishing results in text-to-image (T2I) generation. However, applying these models to synthesize textures for 3D geomet…