Papers by Ansel Blume
SYNTHIA: Novel Concept Design with Affordance Composition (2025.acl-long)
Copied to clipboard
Hyeonjeong Ha, Xiaomeng Jin, Jeonghwan Kim, Jiateng Liu, Zhenhailong Wang, Khanh Duy Nguyen, Ansel Blume, Nanyun Peng, Kai-Wei Chang, Heng Ji
| Challenge: | Existing studies on concept design using text-to-image models have enabled rapid ideation of novel visual concepts. |
| Approach: | They propose a framework for generating novel, functionally coherent designs based on desired affordances by decomposing concepts into parts and affordance . they also develop a curriculum learning scheme that fine-tunes T2I models to progressively learn affordance composition while maintaining visual novelty. |
| Outcome: | The proposed framework outperforms state-of-the-art models for novelty and functional coherence in human evaluation. |
Generative Models for Product Attribute Extraction (2023.emnlp-industry)
Copied to clipboard
| Challenge: | generative models are used for product attribute extraction, a new field in information extraction and e-commerce. |
| Approach: | They analyze generative models for product attribute extraction and demonstrate their utility . they perform experiments on Amazon and MAVE product attribute datasets . |
| Outcome: | The proposed model can generate implicit attribute values, which state-of-the-art models are unable to extract. |