扩散模型新进展，针对眼底彩色图像提出序数建模，MICCAI 2026收录，医学影像生成必读。
arXiv:2602.24013v2 Announce Type: replace Abstract: Generative image models such as diffusion models can improve performance on clinically relevant ta…
扩散语言模型推理提速新思路，用收敛感知机制减少计算浪费，值得关注。
arXiv:2608.22646v1 Announce Type: new Abstract: Diffusion language models can generate many tokens in parallel, but they still require repeated denois…
无需训练，离散扩散模型直接化身多标签分类器，dLLM-SetScore方法开源即用，值得一试。
arXiv:2608.14649v1 Announce Type: new Abstract: We present dLLM-SetScore, a training-free method that uses discrete masked-diffusion language models f…
掩码扩散模型可任意顺序生成关卡，绕开求解器直接产出可解推箱子难题，值得一看。
arXiv:2608.15958v1 Announce Type: new Abstract: Deciding whether a Sokoban puzzle is solvable is PSPACE-complete (Culberson, 1997): solutions can be e…
扩散模型如何“想象”并验证实体类型？这项前沿研究为知识图谱语义识别带来新思路。
arXiv:2608.03025v3 Announce Type: replace Abstract: Multimodal named entity recognition (MNER) determines whether each candidate span and entity-type …
用扩散模型替代自回归生成，为推荐系统带来全新生成范式，值得关注的WWW'26前沿研究。
arXiv:2510.21805v2 Announce Type: replace-cross Abstract: Generative recommendation (GR) is an emerging paradigm that represents each item via a token…
把扩散语言模型变成无损压缩器，用生成式建模重构信息论极限，一篇脑洞大开的交叉前沿研究。
arXiv:2608.11249v1 Announce Type: cross Abstract: We study the problem of lossless text compression, motivated by the rapid growth in the collection a…
扩散式LLM Celeris-1每秒输出2082个token，性能基准大揭秘。
Article URL: https://artificialanalysis.ai/models/celeris-1 Comments URL: https://news.ycombinator.com/item?id=49183867 Points: 5 # Comments: 1
全新块级离散扩散语言模型杀入语音合成，训练效率与音质表现双突破，TTS 开发者必读。
arXiv:2608.00011v1 Announce Type: cross Abstract: Current text-to-speech systems face a trade-off: autoregres- sive codec language models produce high…
医学影像融合迎来意图驱动新思路：扩散Transformer多模态网络，ACM MM 2026收录，技术细节扎实，值得算法研究者细读。
arXiv:2607.28565v1 Announce Type: new Abstract: Medical image fusion aims to integrate complementary information from diverse imaging modalities to su…
提出一种参数化扩散桥的新方法，扩展生成模型的理论边界。
arXiv:2607.22719v1 Announce Type: new Abstract: Multiplicative Gamma noise is a signal-dependent degradation in coherent imaging; synthetic aperture r…
扩散模型首次打通长程Agent任务
扩散模型先验知识赋能人物搜索新范式，精准提升行人重识别效果
arXiv:2510.01841v2 Announce Type: replace Abstract: Person search aims to jointly perform person detection and re-identification by localizing and ide…
扩散模型助力数字乳腺断层合成，解决有限角度重建难题，突破98%未测量空间限制
arXiv:2607.12937v1 Announce Type: cross Abstract: Limited-angle digital breast tomosynthesis (DBT) reconstructs a volume from a few low-dose projectio…
用张量列低秩分解攻克扩散模型高维采样难题，带来理论与计算效率双重飞跃。
arXiv:2607.06841v1 Announce Type: cross Abstract: Diffusion models offer a powerful framework for sampling from complex probability densities by learn…
用动态偏好调优扩散采样器，D2PO在ECCV 2026提出创新方案，让AI绘画更高效精准。
arXiv:2607.06609v1 Announce Type: cross Abstract: We propose D2PO (Dynamic Direct Preference Optimization), a principled framework for optimizing diff…
用扩散模型给压缩视频一键提升画质，细节更清晰，AI视频增强的新玩法。
arXiv:2607.07195v1 Announce Type: new Abstract: Perceptual quality enhancement of severely compressed videos remains challenging due to complex artifa…
扩散语言模型也能精准约束解码？这项研究用有限自动机高效搞定JSON生成，突破自回归模型局限。
arXiv:2607.07026v1 Announce Type: new Abstract: Constrained decoding is essential for serving LLMs, ensuring that generated outputs follow specific st…
用扩散模型生成随机图信号，搞定图数据建模与生成任务，学术党值得一看。
arXiv:2607.06833v1 Announce Type: new Abstract: Sampling stochastic signals supported on a graph underlies many graph machine learning tasks, includin…
用分层组合扩散实现医学图像公平生成，零样本捕捉交叉特征，缓解数据偏见。
arXiv:2603.16551v2 Announce Type: replace-cross Abstract: Generative models are increasingly used to augment medical imaging datasets for fairer AI, y…