LDP consists of a diffusion modeling for encoded text space of an off-the-shelf pre-trained encoder and decoder, the diffusion process can be intervened by additional controller . Paraphrase ...

Abstract: Directly reconstructing 3D CT volume from few-view 2D X-rays using an end-to-end deep learning network is a challenging task, as X-ray images are merely projection views of the 3D CT volume.

Claude Opus 4.5 Coding tasks, long-running agents, software planning, general chatting Limited multimodal capabilities Paid plan starts at $17 per month Gemini 3 Pro Great at multimodal tasks, Deep ...

Abstract: The existing deep-learning based robust watermarking model generally applies a discriminator to form generative adversarial network (GAN) for increasing the quality of encoded images, and ...

Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...

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 ...

Understanding how cells respond to perturbations of genes is central to uncovering the rules of gene regulation. Single-cell RNA sequencing combined with CRISPR-based perturbations has transformed ...

Base text-to-image Model: The first stage is a text-to-image model that utilizes two text encoders: a multimodal large language model (MLLM) to improve image-text alignment, and a multi-language, ...