3 papers
cs.CV2026
IMPLICIT-Bench: Stereotyped Defaults and Prompt Following in Text-to-Image Generation
Yue Dai, Ziyang Liu, Marc Cheong +1
Text-to-image (T2I) models often produce stereotypical images when stereotype-relevant attributes are left unspecified. We ask whether explicit requests can overcome these defaults…
cs.LG2025
FSRF: Factorization-guided Semantic Recovery for Incomplete Multimodal Sentiment Analysis
Ziyang Liu, Pengjunfei Chu, Shuming Dong +3
In recent years, Multimodal Sentiment Analysis (MSA) has become a research hotspot that aims to utilize multimodal data for human sentiment understanding. Previous MSA studies have…
cs.CV2025
MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation
Mingcheng Li, Xiaolu Hou, Ziyang Liu +7
Diffusion models have shown excellent performance in text-to-image generation. Nevertheless, existing methods often suffer from performance bottlenecks when handling complex prompt…