3 papers
cs.AI2025
MMMG: a Comprehensive and Reliable Evaluation Suite for Multitask Multimodal Generation
Jihan Yao, Yushi Hu, Yujie Yi +9
Automatically evaluating multimodal generation presents a significant challenge, as automated metrics often struggle to align reliably with human evaluation, especially for complex…
cs.CV2025
PointArena: Probing Multimodal Grounding Through Language-Guided Pointing
Long Cheng, Jiafei Duan, Yi Ru Wang +12
Pointing serves as a fundamental and intuitive mechanism for grounding language within visual contexts, with applications spanning robotics, assistive technologies, and interactive…
cs.CV2025
Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation
Shivam Duggal, Yushi Hu, Oscar Michel +7
Despite the unprecedented progress in the field of 3D generation, current systems still often fail to produce high-quality 3D assets that are visually appealing and geometrically a…