Abstract: Recent advances in diffusion models (DMs)—such as few-step denoising and multi-modal conditioning—have significantly improved computational efficiency and functional flexibility, but they ...

[INFO ] model.cpp:2383 - unknown tensor 'text_encoders.t5xxl.transformer.decoder.block.0.layer.0.SelfAttention.k.weight | f32 | 2 [512, 384, 1, 1, 1]' in model file ...

The developed model modified Schrödinger bridge-type diffusion models to add noise to real data through the encoder and reconstructed samples through the decoder. It uses two objective functions, the ...

Artificial intelligence has dazzled the world with its ability to create pictures, words, and even music from scratch. But behind the magic lies a hidden cost. Training and running today’s most ...

Today’s popular chatbots and image generators have a severe downside for the environment. These examples of generative artificial intelligence leave a substantial carbon footprint due to outsized ...

Abstract: Multimodal medical image fusion (MMIF) extracts the most meaningful information from multiple source images, enabling a more comprehensive and accurate diagnosis. Achieving high-quality ...

Diffusion models gradually refine and produce a requested output, sometimes starting from random noise—values generated by the model itself—and sometimes working from user-provided data. Think of ...

A new study from the Anthropic Fellows Program reveals a technique to identify, monitor and control character traits in large language models (LLMs). The findings show that models can develop ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Thank you very much for your outstanding work! However, when I tried to use ImageVAE-MCRAFT on HF, I encountered a model mismatch issue. My command line is as follows: python -m main ...