most citedNoteIt: A System Converting Instructional Videos to Interactable Notes Through Multimodal Video Understanding

5 citations · 5 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Geometry-Instructed Video Editing

Chirui Chang, Xiaoyang Lyu, Yi-Hua Huang +7

Object-level geometric edits, including translating, rotating, scaling, duplicating, or removing an object, are routine operations in digital content creation (DCC) workflows, yet…

cs.GR2026

AniGen: Unified Fields for Animatable 3D Asset Generation

Yi-Hua Huang, Zi-Xin Zou, Yuting He +6

Animatable 3D assets, defined as geometry equipped with an articulated skeleton and skinning weights, are fundamental to interactive graphics, embodied agents, and animation produc…

cs.CV2026

ObjectMorpher: 3D-Aware Image Editing via Deformable 3DGS Models

Yuhuan Xie, Aoxuan Pan, Yi-Hua Huang +4

Achieving precise, object-level control in image editing remains challenging: 2D methods lack 3D awareness and often yield ambiguous or implausible results, while existing 3D-aware…

cs.CV2025

StereoPilot: Learning Unified and Efficient Stereo Conversion via Generative Priors

Guibao Shen, Yihua Du, Wenhang Ge +7

The rapid growth of stereoscopic displays, including VR headsets and 3D cinemas, has led to increasing demand for high-quality stereo video content. However, producing 3D videos re…

cs.CV2025

ASSIST-3D: Adapted Scene Synthesis for Class-Agnostic 3D Instance Segmentation

Shengchao Zhou, Jiehong Lin, Jiahui Liu +3

Class-agnostic 3D instance segmentation tackles the challenging task of segmenting all object instances, including previously unseen ones, without semantic class reliance. Current…

cs.HC2025★ 5 cited

NoteIt: A System Converting Instructional Videos to Interactable Notes Through Multimodal Video Understanding

Running Zhao, Zhihan Jiang, Xinchen Zhang +7

Users often take notes for instructional videos to access key knowledge later without revisiting long videos. Automated note generation tools enable users to obtain informative not…

cs.CV2025

Aligning Effective Tokens with Video Anomaly in Large Language Models

Yingxian Chen, Jiahui Liu, Ruidi Fan +6

Understanding abnormal events in videos is a vital and challenging task that has garnered significant attention in a wide range of applications. Although current video understandin…