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200 papers

Autonomous driving systems struggle with complex scenarios due to limited access to diverse, extensive, and out-of-distribution driving data which are critical for safe navigation. World models offer a promising solution to this challenge;…

Computer Vision and Pattern Recognition · Computer Science 2024-12-05 Xi Guo , Chenjing Ding , Haoxuan Dou , Xin Zhang , Weixuan Tang , Wei Wu

Computers today aren't just confined to laptops and desktops. Mobile gadgets like mobile phones and laptops also make use of it. However, one input device that hasn't changed in the last 50 years is the QWERTY keyboard. Users of virtual…

Human-Computer Interaction · Computer Science 2022-08-02 Pabbathi Sri Charan , Saksham Gupta , Satvik Agrawal , Gadupudi Sahithi Sindhu

Generative video models, a leading approach to world modeling, face fundamental limitations. They often violate physical and logical rules, lack interactivity, and operate as opaque black boxes ill-suited for building structured, queryable…

Computer Vision and Pattern Recognition · Computer Science 2025-12-15 Felix O'Mahony , Roberto Cipolla , Ayush Tewari

The recent advancement of generative foundational models has ushered in a new era of image generation in the realm of natural images, revolutionizing art design, entertainment, environment simulation, and beyond. Despite producing…

Computer Vision and Pattern Recognition · Computer Science 2024-10-16 Zhiping Yu , Chenyang Liu , Liqin Liu , Zhenwei Shi , Zhengxia Zou

Gesture recognition research, unlike NLP, continues to face acute data scarcity, with progress constrained by the need for costly human recordings or image processing approaches that cannot generate authentic variability in the gestures…

Computer Vision and Pattern Recognition · Computer Science 2026-04-17 Hassan Ali , Doreen Jirak , Luca Müller , Stefan Wermter

Understanding 3D scenes requires flexible combinations of visual reasoning tasks, including depth estimation, novel view synthesis, and object manipulation, all of which are essential for perception and interaction. Existing approaches have…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Wanhee Lee , Klemen Kotar , Rahul Mysore Venkatesh , Jared Watrous , Honglin Chen , Khai Loong Aw , Daniel L. K. Yamins

While video-generation-based embodied world models have gained increasing attention, their reliance on large-scale embodied interaction data remains a key bottleneck. The scarcity, difficulty of collection, and high dimensionality of…

Recent advances in diffusion-based and controllable video generation have enabled high-quality and temporally coherent video synthesis, laying the groundwork for immersive interactive gaming experiences. However, current methods face…

Computer Vision and Pattern Recognition · Computer Science 2025-06-23 Jiaqi Li , Junshu Tang , Zhiyong Xu , Longhuang Wu , Yuan Zhou , Shuai Shao , Tianbao Yu , Zhiguo Cao , Qinglin Lu

Video generation models have emerged as high-fidelity models of the physical world, capable of synthesizing high-quality videos capturing fine-grained interactions between agents and their environments conditioned on multi-modal user…

We introduce a novel approach for high-resolution talking head generation from a single image and audio input. Prior methods using explicit face models, like 3D morphable models (3DMM) and facial landmarks, often fall short in generating…

Computer Vision and Pattern Recognition · Computer Science 2024-12-11 Sejong Yang , Seoung Wug Oh , Yang Zhou , Seon Joo Kim

We present InSpatio-WorldFM, an open-source real-time frame model for spatial intelligence. Unlike video-based world models that rely on sequential frame generation and incur substantial latency due to window-level processing,…

Understanding, navigating, and exploring the 3D physical real world has long been a central challenge in the development of artificial intelligence. In this work, we take a step toward this goal by introducing GenEx, a system capable of…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Taiming Lu , Tianmin Shu , Junfei Xiao , Luoxin Ye , Jiahao Wang , Cheng Peng , Chen Wei , Daniel Khashabi , Rama Chellappa , Alan Yuille , Jieneng Chen

We propose a novel unsupervised method to autoregressively generate videos from a single frame and a sparse motion input. Our trained model can generate unseen realistic object-to-object interactions. Although our model has never been given…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Aram Davtyan , Paolo Favaro

We present a method for zero-shot, text-driven appearance manipulation in natural images and videos. Given an input image or video and a target text prompt, our goal is to edit the appearance of existing objects (e.g., object's texture) or…

Computer Vision and Pattern Recognition · Computer Science 2022-05-26 Omer Bar-Tal , Dolev Ofri-Amar , Rafail Fridman , Yoni Kasten , Tali Dekel

Recent advancements in camera-trajectory-guided image-to-video generation offer higher precision and better support for complex camera control compared to text-based approaches. However, they also introduce significant usability challenges,…

Computer Vision and Pattern Recognition · Computer Science 2025-07-15 Teng Li , Guangcong Zheng , Rui Jiang , Shuigen Zhan , Tao Wu , Yehao Lu , Yining Lin , Chuanyun Deng , Yepan Xiong , Min Chen , Lin Cheng , Xi Li

To make sense of their surroundings, intelligent systems must transform complex sensory inputs to structured codes that are reduced to task-relevant information such as object category. Biological agents achieve this in a largely autonomous…

Computer Vision and Pattern Recognition · Computer Science 2024-07-09 Robin Weiler , Matthias Brucklacher , Cyriel M. A. Pennartz , Sander M. Bohté

Recent advancements in generative models have enabled the creation of dynamic 4D content - 3D objects in motion - based on text prompts, which holds potential for applications in virtual worlds, media, and gaming. Existing methods provide…

Computer Vision and Pattern Recognition · Computer Science 2025-05-28 Ohad Rahamim , Ori Malca , Dvir Samuel , Gal Chechik

Intelligent game creation represents a transformative advancement in game development, utilizing generative artificial intelligence to dynamically generate and enhance game content. Despite notable progress in generative models, the…

In many applications of computer graphics, art and design, it is desirable for a user to provide intuitive non-image input, such as text, sketch, stroke, graph or layout, and have a computer system automatically generate photo-realistic…

Computer Vision and Pattern Recognition · Computer Science 2021-10-04 Yuan Xue , Yuan-Chen Guo , Han Zhang , Tao Xu , Song-Hai Zhang , Xiaolei Huang

Despite tremendous recent progress, generative video models still struggle to capture real-world motion, dynamics, and physics. We show that this limitation arises from the conventional pixel reconstruction objective, which biases models…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Hila Chefer , Uriel Singer , Amit Zohar , Yuval Kirstain , Adam Polyak , Yaniv Taigman , Lior Wolf , Shelly Sheynin