11 papers
Taming I2V models for Image HOI Editing: A Cognitive Benchmark and Agentic Self-Correcting Framework
Jiayi Gao, Qingchao Chen, Yuxin Peng +1
Current image editing methods excel at static attributes but fail at complex Human-Object Interactions (HOI), a critical challenge unaddressed by existing benchmarks that conflate…
Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models
Hulingxiao He, Zhi Tan, Yuxin Peng
Taxonomies provide key information about the semantic relationships between concepts and the inherent organization of vision and language. Despite their impressive capabilities, la…
DiCoBench: Benchmarking Multi-Image Fine-Grained Perception via Differential and Commonality Visual Cues
Geng Li, Yuxin Peng
Recent advancements in Multimodal Large Language Models (MLLMs) have demonstrated impressive fine-grained perception capabilities. However, existing benchmarks predominantly rely o…
Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: From Evaluation to Diagnosis
Hong-Tao Yu, Chen-Wei Xie, Yuxin Peng +2
Recent advancements in Large Vision-Language Models (LVLMs) have demonstrated remarkable multimodal perception and reasoning capabilities. While numerous benchmarks have evaluated…
AesFormer: Transform Everyday Photos into Beautiful Memories
Tianxiang Du, Hulingxiao He, Yuxin Peng
In everyday photography, aesthetically appealing moments are often captured with structural flaws (e.g., composition, camera viewpoint, or pose) that existing retouching and portra…
Beyond Binary Success: A Diagnostic Meta-Evaluation Framework for Fine-Grained Manipulation
He-Yang Xu, Pengyuan Zhang, Zongyuan Ge +5
Fine-grained manipulation marks a regime where global scene context no longer suffices, and success hinges on the tight coupling of local attribute grounding, high-fidelity spatial…