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From the 1 of 13 linked papers with an AI index.

collaborators

13 papers

cs.CV2026

ContextMaster: Interactive Multi-Shot Video Creation via Fixed-Budget Sparse Context Routing

Xu Guo, Zhengxuan Wei, Xinghui Li +11

Recent video models increasingly support generation, reference conditioning, and editing within a single model, yet typically expose them as separate operations over fixed inputs.…

cs.CV2026

MAVIN: Multi-Shot Audio-Visual Generation with Customized Narrative Control

Kaiqi Liu, Yunyao Mao, Ziqi Cai +8

MAVIN is a framework for generating multi-shot audio‑visual content with fine‑grained narrative control, using boundary‑aware attention to align temporal segments and ID‑aware prop…

cs.CV2026

UniVideo: Unified Understanding, Generation, and Editing for Videos

Cong Wei, Quande Liu, Zixuan Ye +5

Unified multimodal models have shown promising results in multimodal content generation and editing but remain largely limited to the image domain. In this work, we present UniVide…

cs.CV2026

Geometry-Aware Implicit Memory for Video World Models

Zhengxuan Wei, Xu Guo, Xinghui Li +8

Video world models aim to simulate controllable visual environments, but long-horizon rollouts depend on what the model remembers after observations leave its native context window…

cs.CV2026

VideoCanvas: Unified Video Completion from Arbitrary Spatiotemporal Patches via In-Context Conditioning

Minghong Cai, Qiulin Wang, Zongli Ye +7

Existing controllable video generation methods are typically designed for rigid, task-specific settings, such as first-frame image-to-video, inpainting, or interpolation, treating…

cs.CV2026

UniCustom: Unified Visual Conditioning for Multi-Reference Image Generation

Yiyan Xu, Qiulin Wang, Wenjie Wang +5

Multi-reference image generation aims to synthesize images from textual instructions while faithfully preserving subject identities from multiple reference images. Existing VLM-enh…