3 accepted papers
Large Vision-Language Models (VLMs) have demonstrated strong capabilities in tasks requiring a fine-grained understanding of literal meaning in images and text, such as visual question-answering or visual entailment. However, there has been little exploration of the capabilities of these models when…
Based on the neural radiance fields (NeRF), we present a pipeline for generating novel views from a single 360° panoramic image. Prior research relied on the neighborhood interpolation capability of multi-layer perceptions to complete missing regions caused by occlusion. This resulted in artifacts i…
E-commerce websites (e.g. Amazon, Alibaba) have a plethora of structured and unstructured information (text and images) present on the product pages. Sellers often don’t label or mislabel values of the attributes (e.g. color, size etc.) for their products. Automatically identifying these attribute v…