直达视觉扩散模型复制研究前沿，TPAMI 2026权威综述带你纵览进展与展望
arXiv:2408.00001v2 Announce Type: replace-cross Abstract: Visual diffusion models have revolutionized the field of creative AI, producing high-quality…
TPAMI 2026最新论文对经典KL散度损失进行广义化与解耦，首次系统性统一多种变体并理论证明收敛性，是损失函数设计的重要突破。
arXiv:2503.08038v2 Announce Type: replace Abstract: In this paper, we delve deeper into the Kullback-Leibler (KL) Divergence loss and mathematically p…
最新TPAMI论文：利用文本到图像扩散模型实现无监督视觉目标跟踪，无需标注数据即可追踪目标，开辟扩散模型新应用。
arXiv:2605.26933v1 Announce Type: new Abstract: Unsupervised visual object tracking is a challenging task that requires following arbitrary targets in…