01/17/2023: From image understanding to image generation for open-set grounding? Check outGLIGEN (Grounded Language-to-Image Generation) GLIGEN: (box, concept)→image || GLIP: image→(box, concept) 09/19/2022: GLIPv2 has been accepted to NeurIPS 2022 (Updated Version). ...
However, the status quo is to use text input alone, which can impede controllability. In this work, we propose GLIGEN, Grounded-Language-to-Image Generation, a novel approach that builds upon and extends the functionality of existing pre-trained text-to-image dif- fusion models by ena...
Large-scale text-to-image diffusion models have made amazing advances. However, the status quo is to use text input alone, which can impede controllability. In this work, we propose Gligen, Grounded-Language-to-Image Generation, a novel approach that builds upon and extends the functionality of...
It is important to note that our model GLIGEN is designed for open-world grounded text-to-image generation with caption and various condition inputs (e.g. bounding box). However, we also recognize the importance of responsible AI considerations and the need to clearly communicate the capabilitie...
In this paper, we show that phrase grounding, which is a task of identifying the fine-grained correspondence between phrases in a sentence and objects (or regions) in an image, is an effective and scalable pre-training task to learn an object- level, language-aware, and semantic-rich ...
Radiology reporting is a complex task that requires detailed image understanding, integration of multiple inputs, including comparison with prior imaging, and precise language generation. This makes it ideal for the development and use of generative multimodal models. Here, we extend report ...
Selecting a language below will dynamically change the complete page content to that language. Select language Download Expand all | Collapse all Details Version: 1.0 Date Published: 6/8/2017 File Name: IGC_crowd_test.csv IGC_crowd_val.csv File Size: 1.7 MB 1.0 MB Given an image, the ...
While performing mathematically relevant directed actions facilitated key mathematical insights and intuitions for two tasks (Triangle and Gear), directed actions on their own did not lead to superior informal proofs compared to irrelevant actions. Rather, adding pedagogical language in the form of promp...
and natural language interfaces have the potential to make robots more accessible to a wider range of users. Achieving this goal requires the continuous improvement of and development of new technologies for linking language to perception and action in the physical world. In particular, given the ri...
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