Abstract: Latent Diffusion Models have emerged as an efficient alternative to conventional diffusion approaches by compressing high-dimensional images into a lower-dimensional latent space using a ...

点击上方“Deephub Imba”,关注公众号,好文章不错过 ...

Abstract: We present a novel neural drift-diffusion model that aims to emulate the process of solving the drift-diffusion equation. By utilizing Fourier neural operators, the model learns the ...

【新智元导读】视频生成领域的「DeepSeek时刻」来了！清华开源TurboDiffusion，将AI视频生成从「分钟级」硬生生拉进「秒级」实时时代，单卡200倍加速让普通显卡也能跑出大片！

As digital marketing ecosystems expand, advertising creative production demands have risen significantly alongside requirements for visual coherence and style ...

一、需求场景：AI特效生成本项目旨在为社交类APP集成AIGC驱动的个人宣传视频生成功能，通过AI技术将用户上传的真人图像，转化为具有动漫风格的个性化短视频，尤其聚焦于“真人变身跳舞动漫仙女”的特定场景。项目采用通义万相系列AIGC模型，结合定制化训 ...

To prevent jitter between frames, Kuta explains that D-ID uses cross-frame attention and motion-latent smoothing, techniques that maintain expression continuity across time. Developers can even ...

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

Not only has Google's Gemini 3 model been trained on the company's own TPUs, but I've been using a MacBook Pro with Apple's M4 Pro chip for almost a year, and in that time, I've come to find the ...

This project showcases an implementation of the Merton Jump Diffusion Model (JDM), a financial model for commonly used for forecasting equity price paths. Building upon conventional continuous-time ...

Add a description, image, and links to the conditional-diffusion-model topic page so that developers can more easily learn about it.