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Found 4 papers, 2 papers with code
Vision-guided and Mask-enhanced Adaptive Denoising for Prompt-based Image Editing
Despite their advances, existing methods still encounter three key issues: 1) limited capacity of the text prompt in guiding target image generation, 2) insufficient mining of word-to-patch and patch-to-patch relationships for grounding editing areas, and 3) unified editing strength for all regions during each denoising step.
Ranked #3 on
Text-based Image Editing
on PIE-Bench
Do Vision-Language Transformers Exhibit Visual Commonsense? An Empirical Study of VCR
Visual Commonsense Reasoning (VCR) calls for explanatory reasoning behind question answering over visual scenes.
Learning to Agree on Vision Attention for Visual Commonsense Reasoning
Visual Commonsense Reasoning (VCR) remains a significant yet challenging research problem in the realm of visual reasoning.
Joint Answering and Explanation for Visual Commonsense Reasoning
Given that our framework is model-agnostic, we apply it to the existing popular baselines and validate its effectiveness on the benchmark dataset.
