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 ...

You’ve probably seen an artificial intelligence system go off track. You ask for a video of a dog, and as the dog runs behind the love seat, its collar disappears. Then, as the camera pans back, the ...

The Tesla Model Y’s midcycle refresh brought significant enough changes to earn it a spot in our 2026 SUV of the Year competition. The full list of updates is extensive, but the highlights matter.

Abstract: Small object detection (SOD) given aerial images suffers from an information imbalance across different feature scales. This makes it extremely challenging to perform accurate SOD. Existing ...

We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...

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 ...

AMD has officially enabled Stable Diffusion on its latest generation of Ryzen AI processors, bringing local generative AI image creation to systems equipped with XDNA 2 NPUs. The feature arrives ...

Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...

Abstract: Pavement cracks pose a direct threat to the safety of transportation systems. ConditionCrack Segmentation (CCS), a pavement crack segmentation model based on conditional diffusion, is ...