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Related papers: StoryBlender: Inter-Shot Consistent and Editable 3…

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The synthesis of spatiotemporally coherent 4D content presents fundamental challenges in computer vision, requiring simultaneous modeling of high-fidelity spatial representations and physically plausible temporal dynamics. Current…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Xiaoyan Liu , Kangrui Li , Yuehao Song , Jiaxin Liu

We present BlenderFusion, a generative visual compositing framework that synthesizes new scenes by recomposing objects, camera, and background. It follows a layering-editing-compositing pipeline: (i) segmenting and converting visual inputs…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Jiacheng Chen , Ramin Mehran , Xuhui Jia , Saining Xie , Sanghyun Woo

Text-driven 3D editing seeks to modify 3D scenes according to textual descriptions, and most existing approaches tackle this by adapting pre-trained 2D image editors to multi-view inputs. However, without explicit control over multi-view…

Computer Vision and Pattern Recognition · Computer Science 2026-02-20 Zhe Zhu , Honghua Chen , Peng Li , Mingqiang Wei

Recent advancements in text-to-3D generation have significantly contributed to the automation and democratization of 3D content creation. Building upon these developments, we aim to address the limitations of current methods in blending…

Computer Vision and Pattern Recognition · Computer Science 2024-08-26 Yeongtak Oh , Jooyoung Choi , Yongsung Kim , Minjun Park , Chaehun Shin , Sungroh Yoon

Diffusion-based methods can generate realistic images and videos, but they struggle to edit existing objects in a video while preserving their appearance over time. This prevents diffusion models from being applied to natural video editing…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Wenhao Chai , Xun Guo , Gaoang Wang , Yan Lu

Story visualization aims to create visually compelling images or videos corresponding to textual narratives. Despite recent advances in diffusion models yielding promising results, existing methods still struggle to create a coherent…

Computer Vision and Pattern Recognition · Computer Science 2025-08-13 Huiguo He , Huan Yang , Zixi Tuo , Yuan Zhou , Qiuyue Wang , Yuhang Zhang , Zeyu Liu , Wenhao Huang , Hongyang Chao , Jian Yin

Story visualization has become a popular task where visual scenes are generated to depict a narrative across multiple panels. A central challenge in this setting is maintaining visual consistency, particularly in how characters and objects…

Computer Vision and Pattern Recognition · Computer Science 2025-06-24 Kiymet Akdemir , Tahira Kazimi , Pinar Yanardag

Recent advancements in large scale text-to-image models have opened new possibilities for guiding the creation of images through human-devised natural language. However, while prior literature has primarily focused on the generation of…

Computer Vision and Pattern Recognition · Computer Science 2023-02-09 Hyeonho Jeong , Gihyun Kwon , Jong Chul Ye

Controllable 3D indoor scene synthesis stands at the forefront of technological progress, offering various applications like gaming, film, and augmented/virtual reality. The capability to stylize and de-couple objects within these scenarios…

Computer Vision and Pattern Recognition · Computer Science 2024-01-25 Yunfan Zhang , Hong Huang , Zhiwei Xiong , Zhiqi Shen , Guosheng Lin , Hao Wang , Nicholas Vun

The rise of 3D Gaussian Splatting has revolutionized photorealistic 3D asset creation, yet a critical gap remains for their interactive refinement and editing. Existing approaches based on diffusion or optimization are ill-suited for this…

Computer Vision and Pattern Recognition · Computer Science 2025-12-08 Yang Zheng , Hao Tan , Kai Zhang , Peng Wang , Leonidas Guibas , Gordon Wetzstein , Wang Yifan

Generating 3D scenes from human motion sequences supports numerous applications, including virtual reality and architectural design. However, previous auto-regression-based human-aware 3D scene generation methods have struggled to…

Computer Vision and Pattern Recognition · Computer Science 2024-08-21 Xiaolin Hong , Hongwei Yi , Fazhi He , Qiong Cao

Spatio-temporal consistency is a critical research topic in video generation. A qualified generated video segment must ensure plot plausibility and coherence while maintaining visual consistency of objects and scenes across varying…

Computer Vision and Pattern Recognition · Computer Science 2025-03-11 Runze Zhang , Guoguang Du , Xiaochuan Li , Qi Jia , Liang Jin , Lu Liu , Jingjing Wang , Cong Xu , Zhenhua Guo , Yaqian Zhao , Xiaoli Gong , Rengang Li , Baoyu Fan

An interactive vignette is a popular and immersive visual storytelling approach that invites viewers to role-play a character and influences the narrative in an interactive environment. However, it has not been widely used by everyday…

Human-Computer Interaction · Computer Science 2026-02-05 Jiangnan Xu , Haeseul Cha , Gosu Choi , Gyu-cheol Lee , Yeo-Jin Yoon , Zucheul Lee , Konstantinos Papangelis , Dae Hyun Kim , Juho Kim

Shot transitions play a pivotal role in multi-shot video generation, as they determine the overall narrative expression and the directorial design of visual storytelling. However, recent progress has primarily focused on low-level visual…

Computer Vision and Pattern Recognition · Computer Science 2025-12-12 Xiaoxue Wu , Xinyuan Chen , Yaohui Wang , Yu Qiao

Embodied reasoning is inherently viewpoint-dependent: what is visible, occluded, or reachable depends critically on where the agent stands. However, existing spatial memory systems for embodied agents typically store either multi-view…

Artificial Intelligence · Computer Science 2026-03-17 JooHyun Park , HyeongYeop Kang

Within recent approaches to text-to-video (T2V) generation, achieving controllability in the synthesized video is often a challenge. Typically, this issue is addressed by providing low-level per-frame guidance in the form of edge maps,…

Computer Vision and Pattern Recognition · Computer Science 2024-04-10 Wan-Duo Kurt Ma , J. P. Lewis , W. Bastiaan Kleijn

We present SpaceTimePilot, a video diffusion model that disentangles space and time for controllable generative rendering. Given a monocular video, SpaceTimePilot can independently alter the camera viewpoint and the motion sequence within…

Computer Vision and Pattern Recognition · Computer Science 2026-01-01 Zhening Huang , Hyeonho Jeong , Xuelin Chen , Yulia Gryaditskaya , Tuanfeng Y. Wang , Joan Lasenby , Chun-Hao Huang

Storytelling in real-world videos often unfolds through multiple shots -- discontinuous yet semantically connected clips that together convey a coherent narrative. However, existing multi-shot video generation (MSV) methods struggle to…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Zhaochong An , Menglin Jia , Haonan Qiu , Zijian Zhou , Xiaoke Huang , Zhiheng Liu , Weiming Ren , Kumara Kahatapitiya , Ding Liu , Sen He , Chenyang Zhang , Tao Xiang , Fanny Yang , Serge Belongie , Tian Xie

We introduce Aether Weaver, a novel, integrated framework for multimodal narrative co-generation that overcomes limitations of sequential text-to-visual pipelines. Our system concurrently synthesizes textual narratives, dynamic scene graph…

Computer Vision and Pattern Recognition · Computer Science 2025-08-06 Saeed Ghorbani

We introduce Drag4D, an interactive framework that integrates object motion control within text-driven 3D scene generation. This framework enables users to define 3D trajectories for the 3D objects generated from a single image, seamlessly…

Computer Vision and Pattern Recognition · Computer Science 2025-09-29 Minjun Kang , Inkyu Shin , Taeyeop Lee , In So Kweon , Kuk-Jin Yoon
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