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cs.CV2026

DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior

Junjia Huang, Binbin Yang, Pengxiang Yan +6

Storyboard synthesis plays a crucial role in visual storytelling, aiming to generate coherent shot sequences that visually narrate cinematic events with consistent characters, scen…

cs.CV2026

UnityShots: Memory-Driven Multi-Shot Audio-Video Generation with Boundary-Aware Gating

Jiehui Huang, Yuechen Zhang, Bin Xia +7

Generating a coherent multi-shot video requires structured cross-shot memory. Subject appearance, scene context, and speaker identity must persist across cuts. Existing approaches…

cs.CV2025

DreamOmni3: Scribble-based Editing and Generation

Bin Xia, Bohao Peng, Jiyang Liu +8

Recently unified generation and editing models have achieved remarkable success with their impressive performance. These models rely mainly on text prompts for instruction-based ed…

cs.CV2025

Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance

Ruihang Chu, Yefei He, Zhekai Chen +10

We present Wan-Move, a simple and scalable framework that brings motion control to video generative models. Existing motion-controllable methods typically suffer from coarse contro…

cs.CV2025

UnityVideo: Unified Multi-Modal Multi-Task Learning for Enhancing World-Aware Video Generation

Jiehui Huang, Yuechen Zhang, Xu He +7

Recent video generation models demonstrate impressive synthesis capabilities but remain limited by single-modality conditioning, constraining their holistic world understanding. Th…

cs.CV2025

Training-Free Efficient Video Generation via Dynamic Token Carving

Yuechen Zhang, Jinbo Xing, Bin Xia +6

Despite the remarkable generation quality of video Diffusion Transformer (DiT) models, their practical deployment is severely hindered by extensive computational requirements. This…