Human-centric video generation has advanced rapidly, yet existing methods struggle to produce controllable and physically consistent Human-Object Interaction (HOI) videos. Existing works rely on dense control signals, template videos, or carefully crafted text prompts, which limit flexibility and generalization to novel objects. We introduce a framework, namely DISPLAY, guided by Sparse Motion Guidance, composed only of wrist joint coordinates and a shape-agnostic object bounding box. This lightweight guidance alleviates the imbalance between human and object representations and enables intuitive user control. To enhance fidelity under such sparse conditions, we propose an Object-Stressed Attention mechanism that improves object robustness. To address the scarcity of high-quality HOI data, we further develop a Multi-Task Auxiliary Training strategy with a dedicated data curation pipeline, allowing the model to benefit from both reliable HOI samples and auxiliary tasks. Comprehensive experiments show that our method achieves high-fidelity, controllable HOI generation across diverse tasks. The project page can be found at \href{https://mumuwei.github.io/DISPLAY/}.
Unbiased Multi-Modality Guidance for Image Inpainting
Institute of Software Chinese Academy of Sciences（中国科学院软件研究所）；University of Chinese Academy of Sciences（中国科学院大学）；Kitware（Kitware公司）；Nanjing Institute of Software Technology（南京软件技术研究院）
Auxiliary CycleGAN-guidance for Task-Aware Domain Translation from Duplex to Monoplex IHC Images
AstraZeneca Computational Pathology, Oncology Research and Development（阿斯利康肿瘤研发部计算病理学）；AstraZeneca Translational Pathology, Oncology Research and Development（阿斯利康肿瘤研发部转化病理学）
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction
Sichuan University（四川大学）；University of Sydney（悉尼大学）；Chengdu University of Information Technology（成都信息工程大学）；ShanghaiTech University（上海科技大学）；Shanghai United Imaging Intelligence Co., Ltd.（上海联影智能科技有限公司）
针对低剂量 PET 重建中扩散模型采样慢、条件对应保持不足的问题，提出由 CPM 与 IRM 构成的由粗到细框架，并引入辅助引导和对比扩散策略，提升速度、重建质量及临床可靠性。
Exploring Compositional Visual Generation with Latent Classifier Guidance
University of California, San Diego（加州大学圣地亚哥分校）；The Pennsylvania State University（宾夕法尼亚州立大学）；NEC Laboratories America（NEC美国实验室）；Northwestern University（西北大学）
Conditional GANs with Auxiliary Discriminative Classifier
Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所）；University of Chinese Academy of Sciences（中国科学院大学）；Shanghai Jiao Tong University（上海交通大学）
VAGS: Velocity Adaptive Guidance Scale for Image Editing and Generation
Harvard AI and Robotics Lab（哈佛人工智能与机器人实验室）；Harvard University（哈佛大学）；School of Computing and Data Science（计算与数据科学学院）；The University of Hong Kong（香港大学）；Kempner Institute for the Study of Natural and Artificial Intelligence（自然与人工智能研究学院）
Enhancing Video Physical Consistency via Role-aware Joint Training and Modality-decoupled Denoising
University of Science and Technology of China（中国科学技术大学）；University of Electronic Science and Technology of China（电子科技大学）；Fudan University（复旦大学）；Georgia Institute of Technology（佐治亚理工学院）；Shanghai Jiao Tong University（上海交通大学）
Image Captioning with Context-Aware Auxiliary Guidance
Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所）；School of Cyber Security, University of Chinese Academy of Sciences（中国科学院大学网络空间安全学院）；University of Science and Technology of China（中国科学技术大学）
SMPL Normal Map Is All You Need for Single-view Textured Human Reconstruction
Nanyang Technological University（南洋理工大学）；The Hong Kong University of Science and Technology (Guangzhou)（香港科学与技术大学（广州））；National University of Singapore（国立新加坡大学）；Zhejiang University of Technology（浙江工业大学）；University of Technology Sydney（悉尼大学）
School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机科学学院）；Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)（广东省人工智能与数字经济实验室（深圳））
Mitigating Exposure Bias in Discriminator Guided Diffusion Models
Artificial Intelligence and Learning Systems Laboratory（人工智能与学习系统实验室）；School of Electrical and Computer Engineering（电气与计算机工程学院）；National Technical University of Athens（雅典国立技术大学）
Image AID via continuous-time reinforcement learning
Department of Industrial Engineering and Operations Research, Columbia University, New York, NY 10027, USA（工业工程与运筹学系，哥伦比亚大学，纽约，NY 10027，美国）；Department of Industrial Engineering and Operations Research & Data Science Institute, Columbia University, New York, NY 10027, USA（工业工程与运筹学系及数据科学研究所，哥伦比亚大学，纽约，NY 10027，美国）
Adversarial Guided Diffusion Models for Adversarial Purification
Tokyo University of Agriculture and Technology（东京农工大学）；RIKEN Center for Advanced Intelligence Project (RIKEN AIP)（理化学研究所先进智能项目中心）；Hangzhou Dianzi University（杭州电子科技大学）
MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction
1 Hawkes Institute, UCL \, 2 Dept. of Medical Physics；Biomedical Engineering, UCL 3 Dept. of Computer Science, UCL 4 Centre for AI, DS\&AI, AstraZeneca, UK
Guiding a Diffusion Transformer with the Internal Dynamics of Itself
University of Electronic Science and Technology of China（电子科技大学）；National University of Singapore（新加坡国立大学）；Sun Yat-sen University（中山大学）；North China Institute of Computer Systems Engineering（华北计算机系统工程研究所）
InfraNet: Quality-Aware RGB Guidance for Efficient Infrared Object Detection
Beihang University（北京航空航天大学）；Zhongguancun Academy（中关村科学城）；Communication University of China（中国传媒大学）；King Abdullah University of Science and Technology（阿卜杜拉国王科技大学）
