Gloria: Consistent Character Video Generation via Content Anchors

• URL: http://arxiv.org/abs/2603.29931v1
• Date: Tue, 31 Mar 2026 16:06:16 GMT
• Title: Gloria: Consistent Character Video Generation via Content Anchors
• Abstract summary: We propose representing character visual attributes through a compact set of anchor frames.<n>This design provides stable references for consistency, while reference-based video generation faces challenges of copy-pasting and multi-reference conflicts.<n> Experiments show our method generates high-quality character videos exceeding 10 minutes, and achieves expressive identity and appearance consistency across views, surpassing existing methods.
• Score: 63.7455328319917
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Digital characters are central to modern media, yet generating character videos with long-duration, consistent multi-view appearance and expressive identity remains challenging. Existing approaches either provide insufficient context to preserve identity or leverage non-character-centric information as the memory, leading to suboptimal consistency. Recognizing that character video generation inherently resembles an outside-looking-in scenario. In this work, we propose representing the character visual attributes through a compact set of anchor frames. This design provides stable references for consistency, while reference-based video generation inherently faces challenges of copy-pasting and multi-reference conflicts. To address these, we introduce two mechanisms: Superset Content Anchoring, providing intra- and extra-training clip cues to prevent duplication, and RoPE as Weak Condition, encoding positional offsets to distinguish multiple anchors. Furthermore, we construct a scalable pipeline to extract these anchors from massive videos. Experiments show our method generates high-quality character videos exceeding 10 minutes, and achieves expressive identity and appearance consistency across views, surpassing existing methods.

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