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Found 4 papers, 1 papers with code
How to Understand Named Entities: Using Common Sense for News Captioning
Our approach consists of three modules: (a) Filter Module aims to clarify the common sense concerning a named entity from two aspects: what does it mean?
Rule-driven News Captioning
News captioning task aims to generate sentences by describing named entities or concrete events for an image with its news article.
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model
Generative Adversarial Networks (GANs) dominate the research field in image-based virtual try-on, but have not resolved problems such as unnatural deformation of garments and the blurry generation quality.
Causality is all you need
In this paper, we propose the Causal Graph Routing (CGR) framework, an integrated causal scheme relying entirely on the intervention mechanisms to reveal the cause-effect forces hidden in data.
