Attentive Eraser is a novel tuning-free method that enhances object removal capabilities in pre-trained diffusion models. This official implementation demonstrates the method's efficacy, leveraging ...

Our paper is based on this. v1.1 is based on Stable Diffusion v1.5 and GLIGEN. We train at batch size of 32 for 250k steps ... dir logs --merge --hierarchical_merge --task_merge --eval --hoi_path data ...

“The ink branches generate based on the intricate interaction between the vorticities and the viscosity over time, which we ...

Since my recent coverage of the growth in hobbyist Hunyuan Video LoRAs (small, trained files that can inject custom ...

Recently, deep learning (DL) has been increasingly applied in AMR due to its robust feature extraction and generalization capability. To obtain substantial high-quality data for DL training, diffusion ...

Generative diffusion models like Stable Diffusion, Flux, and video models such as Hunyuan rely on knowledge acquired during a ...

The paper is among the 10 most-cited papers published ... Like DreamBooth, DreamFusion leverages a diffusion model in various ways to build out an asset in three dimensions, such as estimating ...

In this work, we present ENERGYVID, a universal spatio-temporal Energy-guided Video Diffusion model designed for zero-shot video synthesis and editing across ... We will release source code upon ...

Take this example: a Microsoft team is just now figuring out how to use a diffusion model to find new materials that can fit the bill for high-tech projects. “Finding a new material for a target ...

In this paper we show this to be incorrect. Once the appropriate driving forces are taken into account, the neoclassical model can account for slow' adoption. We illustrate this by developing an ...