Text-to-video (T2V) generation has been recently enabled by transformer-based diffusion models, but current T2V models lack capabilities in adhering to the real-world common knowledge and physical rules, due to their limited understanding of physical realism and deficiency in temporal modeling. Existing solutions are either data-driven or require extra model inputs, but cannot be generalizable to out-of-distribution domains. In this paper, we present PhyT2V, a new data-independent T2V technique that expands the current T2V model's capability of video generation to out-of-distribution domains, by enabling chain-of-thought and step-back reasoning in T2V prompting. Our experiments show that PhyT2V improves existing T2V models' adherence to real-world physical rules by 2.3x, and achieves 35% improvement compared to T2V prompt enhancers. The source codes are available at: https://github.com/pittisl/PhyT2V.
PRISM: Prompt Refinement via Image-grounded Self-rewarding Mechanism for Text-to-Image Generation
Harbin Institute of Technology, Shenzhen（哈尔滨工业大学（深圳））；Sun Yat-sen University（中山大学）；South China University of Technology（华南理工大学）；Guangdong University of Technology（广东工业大学）
Uncovering Hidden Connections: Iterative Search and Reasoning for Video-grounded Dialog
School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen)（哈尔滨工业大学（深圳）计算机科学与技术学院）；Pengcheng Laboratory（鹏城实验室）；School of Computer Science and Technology, Shandong Jianzhu University（山东建筑大学计算机科学与技术学院）
Culture-TRIP: Culturally-Aware Text-to-Image Generation with Iterative Prompt Refinement
Department of Computer Science and Engineering, Dongguk University（计算机科学与工程系，东国大学）；Department of Computer Science and Artificial Intelligence, Dongguk University（计算机科学与人工智能系，东国大学）
Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement
Department of Computer Science and Information Engineering, National Taiwan University（国家台湾大学计算机科学与信息工程系）；National Taiwan University AI Center of Research Excellence（国家台湾大学人工智能研究中心）
Bootstrapping Physics-Grounded Video Generation through VLM-Guided Iterative Self-Refinement
School of Computer Science and Technology, University of Chinese Academy of Sciences（中国科学院大学计算机科学与技术学院）；School of Computer Science and Technology, Beijing Institute of Technology（北京理工大学计算机科学与技术学院）；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安全学院）；Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所）
VLM-Guided Iterative Refinement for Surgical Image Segmentation with Foundation Models
School of Automation Science and Engineering, South China University of Technology, Guangzhou, China（自动化科学与工程学院，华南理工大学，广州，中国）；Vanderbilt University, Nashville, TN, USA（范德比尔特大学，纳什维尔，田纳西州，美国）；The Pennsylvania State University, University Park, PA , USA（宾夕法尼亚州立大学，大学园，宾夕法尼亚州，美国）；Peking University, Beijing , China（北京大学，北京，中国）；Virginia Commonwealth University, Richmond, VA, USA（弗吉尼亚共同wealth大学，里士满，弗吉尼亚州，美国）；University of California San Diego, San Diego, CA, USA（加州大学圣地亚哥分校，圣地亚哥，加利福尼亚州，美国）
MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline
Buzzni AI Lab（Buzzni人工智能实验室）；KAIST（韩国科学技术院）；Mathpresso Inc.（Mathpresso公司）；UC Berkeley（加州大学伯克利分校）；Fainders AI（Fainders人工智能公司）；Seoul National University（首尔大学）
Field Converter: Geometry-Initialized Temporal Residual Refinement for World-Grounded Player Pose Estimation from Soccer Broadcasts
Institut de Biomécanique Humaine Georges Charpak (IBHGC), Arts et Métiers ParisTech（乔治·沙帕克人体生物力学研究所（IBHGC），巴黎高科国立高等工艺学校）；French Football Federation (FFF)（法国足球联合会（FFF））
IMPROVE: Iterative Model Pipeline Refinement and Optimization Leveraging LLM Experts
University of Toronto（多伦多大学）；University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）；University of Wisconsin-Madison（威斯康星大学麦迪逊分校）；New York University（纽约大学）
IVR-R1: Refining Trajectories through Iterative Visual-Grounded Reasoning in Reinforcement Learning
Hangzhou International Innovation Institute, Beihang University（北京航空航天大学杭州国际创新研究院）；School of Artificial Intelligence, Beihang University（北京航空航天大学人工智能学院）；Kuaishou Technology（快手科技）；Shenzhen Institute of Advanced Integration Technology, Shenzhen（深圳先进集成技术研究院）
