1d
Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient
This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...
UniPre3D is the first unified pre-training method for 3D point clouds that effectively handles both object- and scene-level data through cross-modal Gaussian splatting. Our proposed pre-training task ...
Abstract: Mobile crowdsensing (MCS) is a data sensing paradigm that recruits mobile users with smart devices to collect data. However, the collected spatio-temporal sensing data in real-world ...
We developed and evaluated a pipeline combining Mistral Large LLM and a postprocessing phase. The pipeline's performance was assessed both at document and patient levels. For evaluation, two data sets ...
Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...
Abstract: Recent advancements in generative models, such as generative adversarial networks (GANs) and diffusion-based models, have greatly improved the generation of realistic and diverse remote ...
Discover the step-by-step journey of crafting a stunning Blue-Eyes Ultimate Dragon model inspired by Yu-Gi-Oh! Watch as traditional sculpting in oil-wax clay meets innovative 3D printing and resin ...
We introduce Jodi, a diffusion framework that unifies visual generation and understanding by jointly modeling the image domain and multiple label domains. Jodi is built upon a linear diffusion ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results