Papers
1–3 of 3Research Paper·Mar 9, 2026
DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation
Significant progress has been achieved in subject-driven text-to-image (T2I) generation, which aims to synthesize new images depicting target subjects according to user instructions. However, evaluati...
7.0 viability
Research Paper·Mar 6, 2026
StruVis: Enhancing Reasoning-based Text-to-Image Generation via Thinking with Structured Vision
Reasoning-based text-to-image (T2I) generation requires models to interpret complex prompts accurately. Existing reasoning frameworks can be broadly categorized into two types: (1) Text-Only Reasoning...
7.0 viability
Research Paper·Mar 10, 2026
CogBlender: Towards Continuous Cognitive Intervention in Text-to-Image Generation
Beyond conveying semantic information, an image can also manifest cognitive attributes that elicit specific cognitive processes from the viewer, such as memory encoding or emotional response. While mo...
5.0 viability