A new 3D simulation tool developed by ETH and SLF researchers now allows for significantly more accurate predictions of ...

In this letter, denoising diffusion implicit models (DDIM), a computation-efficient class of probabilistic diffusion models, are proposed for improving the reconstruction performance of end-users in ...

Biopolymer networks having a meshwork topology, e.g., extracellular matrices and mucus gels, are ubiquitous. Understanding the diffusion mechanism of self-propelled agents, including Janus colloidal ...

In the limit of a vanishing critical temperature and weak attraction, the splitting of SALR fluids into colloid-poor (gas) and colloid-rich (liquid) phases—known as the gas–liquid phase separation ...

This diffusion‑limited regime likely dominates for fluffier aggregates made of phytoplankton remains, fecal pellets, or ...

In this paper, we introduce a randomness-restricted diffusion model for multiple ocular surface structure segmentation. First, a time-controlled fusion-attention module (TFM) is proposed to ...

Both the inverse and forward renderers are video diffusion models trained on a combination of curated synthetic datasets and auto-labeled real-world videos. Unlike classic PBR, which relies on precise ...

The configs here: --checkpoint_dir specifies the directory containing model checkpoints, use default checkpoints/. --diffusion_transformer_dir selects the specific model variant to use. --dataset_path ...