Chenxi Song, Yanming Yang, Tong Zhao, Ruibo Li, Joey Tianyi Zhou, Chi Zhang · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31640 · open-access PDF
وقد تعلمنا نموذجاً للتنويع الفوتوغرافي من قبل 3D/4D، مما يجعلها أكثر عرضة للإنتاج السينمائي والانتقال إلى الفيديو. ومع ذلك، فإن استخدامها في المهام الفنية محدودة بالسيطرة الكامنة على الكاميرا، والتناقضات الفوتوغرافيّة والزمانيّة، والحركة الكامنة في الكاميرا مع ديناميكيات السينمائيّة.
Machine translation (Meta M2M100); the English original follows.
Video diffusion models have learned rich 3D/4D priors, making them promising for scene generation and video re-rendering. However, their use in spatial tasks is limited by imprecise camera control, spatial and temporal inconsistencies, and entangled camera motion with scene dynamics. Existing approaches, such as task-specific fine-tuning and post-process warping, often introduce visual artifacts, generalize poorly, or incur high computational costs. We propose WorldForge V2 to achieve accurate camera control while preserving the generative capabilities of pretrained video models. We first deve
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