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20232026
most citedMotionBridge: Dynamic Video Inbetweening with Flexible Controls

1 citations · 1 across the 7 of their papers we have counts for

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cs.CV2026

GeoStream: Toward Precise Camera Controlled Streaming Video Generation

Yizhou Zhao, Yifan Wang, Xiaoyuan Wang +11

Accurate interactive camera control is essential for video-based world models, but most existing approaches learn camera motion implicitly, leading to inaccurate control under out-…

cs.CV2026

Advances in Neural 3D Mesh Texturing: A Survey

Sai Raj Kishore Perla, Hao Zhang, Ali Mahdavi-Amiri

Texturing 3D meshes plays a vital role in determining the visual realism of digital objects and scenes. Although recent generative 3D approaches based on Neural Radiance Fields and…

cs.CV2025

CREward: A Type-Specific Creativity Reward Model

Jiyeon Han, Ali Mahdavi-Amiri, Hao Zhang +1

Creativity is a complex phenomenon. When it comes to representing and assessing creativity, treating it as a single undifferentiated quantity would appear naive and underwhelming.…

cs.CV2025

MultiCOIN: Multi-Modal COntrollable Video INbetweening

Maham Tanveer, Yang Zhou, Simon Niklaus +4

Video inbetweening creates smooth and natural transitions between two image frames, making it an indispensable tool for video editing and long-form video synthesis. Existing works…

cs.CV20251 cited

MotionBridge: Dynamic Video Inbetweening with Flexible Controls

Maham Tanveer, Yang Zhou, Simon Niklaus +4

By generating plausible and smooth transitions between two image frames, video inbetweening is an essential tool for video editing and long video synthesis. Traditional works lack…

cs.CV2024

GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generation

Dingdong Yang, Yizhi Wang, Konrad Schindler +2

We propose GALA, a novel representation of 3D shapes that (i) excels at capturing and reproducing complex geometry and surface details, (ii) is computationally efficient, and (iii)…