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Generating a consistent whole-house VR tour from a floorplan and style reference requires both photorealistic panoramas and cross-view spatial coherence. Pure 2D generators produce appealing single panoramas but re-imagine geometry and…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Jinrang Jia , Zhenjia Li , Yijiang Hu , Yifeng Shi

Sparse-view 3D reconstruction is essential for modeling scenes from casual captures, but remain challenging for non-generative reconstruction. Existing diffusion-based approaches mitigates this issues by synthesizing novel views, but they…

Computer Vision and Pattern Recognition · Computer Science 2026-04-22 Yutian Chen , Shi Guo , Renbiao Jin , Tianshuo Yang , Xin Cai , Yawen Luo , Mingxin Yang , Mulin Yu , Linning Xu , Tianfan Xue

Autoregressive (AR) diffusion enables streaming, interactive long-video generation by producing frames causally, yet maintaining coherence over minute-scale horizons remains challenging due to accumulated errors, motion drift, and content…

Computer Vision and Pattern Recognition · Computer Science 2025-12-05 Yifei Yu , Xiaoshan Wu , Xinting Hu , Tao Hu , Yangtian Sun , Xiaoyang Lyu , Bo Wang , Lin Ma , Yuewen Ma , Zhongrui Wang , Xiaojuan Qi

Editing long videos remains a challenging task due to the need for maintaining both global consistency and temporal coherence across thousands of frames. Existing methods often suffer from structural drift or temporal artifacts,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-21 Zichi Liu , Yinggui Wang , Tao Wei , Chao Ma

We present Envision3D, a novel method for efficiently generating high-quality 3D content from a single image. Recent methods that extract 3D content from multi-view images generated by diffusion models show great potential. However, it is…

Computer Vision and Pattern Recognition · Computer Science 2024-03-15 Yatian Pang , Tanghui Jia , Yujun Shi , Zhenyu Tang , Junwu Zhang , Xinhua Cheng , Xing Zhou , Francis E. H. Tay , Li Yuan

Long-form video generation presents a dual challenge: models must capture long-range dependencies while preventing the error accumulation inherent in autoregressive decoding. To address these challenges, we make two contributions. First,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-06 Xiaofei Wu , Guozhen Zhang , Zhiyong Xu , Yuan Zhou , Qinglin Lu , Xuming He

Recent diffusion-based video generators have achieved remarkable visual fidelity and prompt controllability, yet scaling them to ultra-high-resolution (UHR) long videos remains prohibitively expensive. The difficulty is especially…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Ziyang Mai , Yuyao Zhang , Yu-Wing Tai

We introduce LivingWorld, an interactive framework for generating 4D worlds with environmental dynamics from a single image. While recent advances in 3D scene generation enable large-scale environment creation, most approaches focus…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Hyeongju Mun , In-Hwan Jin , Sohyeong Kim , Kyeongbo Kong

Generating videos for visual storytelling can be a tedious and complex process that typically requires either live-action filming or graphics animation rendering. To bypass these challenges, our key idea is to utilize the abundance of…

Computer Vision and Pattern Recognition · Computer Science 2023-07-14 Yingqing He , Menghan Xia , Haoxin Chen , Xiaodong Cun , Yuan Gong , Jinbo Xing , Yong Zhang , Xintao Wang , Chao Weng , Ying Shan , Qifeng Chen

Autoregressive video diffusion models are capable of long rollouts that are stable and consistent with history, but they are unable to guide the current generation with conditioning from the future. In camera-guided video generation with a…

Computer Vision and Pattern Recognition · Computer Science 2026-04-13 Chonghyuk Song , Michal Stary , Boyuan Chen , George Kopanas , Vincent Sitzmann

Research on video generation has recently made tremendous progress, enabling high-quality videos to be generated from text prompts or images. Adding control to the video generation process is an important goal moving forward and recent…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Zhengfei Kuang , Shengqu Cai , Hao He , Yinghao Xu , Hongsheng Li , Leonidas Guibas , Gordon Wetzstein

Recent advances in video diffusion transformers have enabled interactive gaming world models that allow users to explore generated environments over extended horizons. However, existing approaches struggle with precise action control and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-18 Jisu Nam , Yicong Hong , Chun-Hao Paul Huang , Feng Liu , JoungBin Lee , Jiyoung Kim , Siyoon Jin , Yunsung Lee , Jaeyoon Jung , Suhwan Choi , Seungryong Kim , Yang Zhou

Recent advances in unified multimodal models (UMMs) have enabled impressive progress in visual comprehension and generation. However, existing datasets and benchmarks focus primarily on single-turn interactions, failing to capture the…

Computer Vision and Pattern Recognition · Computer Science 2025-11-17 Wei Chow , Jiachun Pan , Yongyuan Liang , Mingze Zhou , Xue Song , Liyu Jia , Saining Zhang , Siliang Tang , Juncheng Li , Fengda Zhang , Weijia Wu , Hanwang Zhang , Tat-Seng Chua

State-of-the-art Text-to-Video (T2V) diffusion models can generate visually impressive results, yet they still frequently fail to compose complex scenes or follow logical temporal instructions. In this paper, we argue that many errors,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Mariam Hassan , Bastien Van Delft , Wuyang Li , Alexandre Alahi

We present a novel video generation framework that integrates 3-dimensional geometry and dynamic awareness. To achieve this, we augment 2D videos with 3D point trajectories and align them in pixel space. The resulting 3D-aware video…

Computer Vision and Pattern Recognition · Computer Science 2025-10-24 Yunuo Chen , Junli Cao , Vidit Goel , Sergei Korolev , Chenfanfu Jiang , Jian Ren , Sergey Tulyakov , Anil Kag

In this paper, we tackle the problem of video alignment, the process of matching the frames of a pair of videos containing similar actions. The main challenge in video alignment is that accurate correspondence should be established despite…

Computer Vision and Pattern Recognition · Computer Science 2024-09-09 Niloufar Fakhfour , Mohammad ShahverdiKondori , Sajjad Hashembeiki , Mohammadjavad Norouzi , Hoda Mohammadzade

Building video world models upon pretrained video generation systems represents an important yet challenging step toward general spatiotemporal intelligence. A world model should possess three essential properties: controllability,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Jianxiong Gao , Zhaoxi Chen , Xian Liu , Junhao Zhuang , Chengming Xu , Jianfeng Feng , Yu Qiao , Yanwei Fu , Chenyang Si , Ziwei Liu

Autoregressive video diffusion models have proved effective for world modeling and interactive scene generation, with Minecraft gameplay as a representative application. To faithfully simulate play, a model must generate natural content…

Computer Vision and Pattern Recognition · Computer Science 2025-10-06 Junchao Huang , Xinting Hu , Boyao Han , Shaoshuai Shi , Zhuotao Tian , Tianyu He , Li Jiang

Creating deformable 3D content has gained increasing attention with the rise of text-to-image and image-to-video generative models. While these models provide rich semantic priors for appearance, they struggle to capture the physical…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Jixuan He , Chieh Hubert Lin , Lu Qi , Ming-Hsuan Yang

Existing multi-view 3D object reconstruction methods heavily rely on sufficient overlap between input views, where occlusions and sparse coverage in practice frequently yield severe reconstruction incompleteness. Recent advancements in…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Jiahao Chang , Chongjie Ye , Yushuang Wu , Yuantao Chen , Yidan Zhang , Zhongjin Luo , Chenghong Li , Yihao Zhi , Xiaoguang Han