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Ziyang Chu

2 accepted papers

2025

Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity

NeurIPS 2025poster

Despite rapid advances in 3D content generation, quality assessment for the generated 3D assets remains challenging. Existing methods mainly rely on image-based metrics and operate solely at the object level, limiting their ability to capture spatial Despite rapid advances in 3D content generation,…

Cited by 0SourceScholar
2025

X-Prompt: Generalizable Auto-Regressive Visual Learning with In-Context Prompting

ICCV 2025poster

Recent advances in large language models have enabled task prompting for open-ended text generation. In the vision domain, a longstanding goal is developing models capable of general visual learning, encompassing tasks such as image generation, editing, low-level processing, and dense perception. Al…

Cited by 0SourcePDFScholar