Web11 Apr 2024 · We propose a self-supervised shared encoder model that achieves strong results on several visual, language and multimodal benchmarks while being data, memory and run-time efficient. We make three key contributions. First, in contrast to most existing works, we use a single transformer with all the encoder layers processing both the text … Web2 days ago · In our work, we show that recent state-of-the-art customization of text-to-image models suffer from catastrophic forgetting when new concepts arrive sequentially. Specifically, when adding a new concept, the ability to generate high quality images of past, similar concepts degrade. To circumvent this forgetting, we propose a new method, C …
[2304.05977] ImageReward: Learning and Evaluating Human …
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WebUS011463536B2 ( 12 ) United States Patent Vasiliauskas et al . ( 10 ) Patent No .: US 11,463,536 B2 ( 45 ) Date of Patent : Oct. 4 , 2024 ( 54 ) CURATING PROXY SERVER … Web7 Apr 2024 · Diffusion-based models have achieved state-of-the-art performance on text-to-image synthesis tasks. However, one critical limitation of these models is the low fidelity of generated images with respect to the text description, such as missing objects, mismatched attributes, and mislocated objects. One key reason for such inconsistencies is the … Web11 Apr 2024 · Improving Image Recognition by Retrieving from Web-Scale Image-Text Data. Retrieval augmented models are becoming increasingly popular for computer vision tasks … meshanticut vista apartments