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20232026
most citedVBench: Comprehensive Benchmark Suite for Video Generative Models

4 citations · 6 across the 12 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

Read, Parse, Describe: Unified Document Parsing with Visual Element Description Generation

Yuheng Chen, Yufan Chen, Zhuojun Cai +8

Document understanding systems are typically evaluated as separate components via layout analysis, optical text recognition, reading-order prediction, and image captioning. This se…

cs.CV2025

Being-M0.5: A Real-Time Controllable Vision-Language-Motion Model

Bin Cao, Sipeng Zheng, Ye Wang +5

Human motion generation has emerged as a critical technology with transformative potential for real-world applications. However, existing vision-language-motion models (VLMMs) face…

cs.CV2025

Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos

Hao Luo, Yicheng Feng, Wanpeng Zhang +7

We introduce Being-H0, a dexterous Vision-Language-Action model (VLA) trained on large-scale human videos. Existing VLAs struggle with complex manipulation tasks requiring high dex…

cs.CV2025

EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining

Boshen Xu, Yuting Mei, Xinbi Liu +2

Egocentric video-language pretraining has significantly advanced video representation learning. Humans perceive and interact with a fully 3D world, developing spatial awareness tha…

cs.CV2024

Scaling Large Motion Models with Million-Level Human Motions

Ye Wang, Sipeng Zheng, Bin Cao +4

Inspired by the recent success of LLMs, the field of human motion understanding has increasingly shifted toward developing large motion models. Despite some progress, current effor…

cs.CV2024

Do Egocentric Video-Language Models Truly Understand Hand-Object Interactions?

Boshen Xu, Ziheng Wang, Yang Du +3

Egocentric video-language pretraining is a crucial step in advancing the understanding of hand-object interactions in first-person scenarios. Despite successes on existing testbeds…

cs.CV2024★ 1 cited

SPAFormer: Sequential 3D Part Assembly with Transformers

Boshen Xu, Sipeng Zheng, Qin Jin

We introduce SPAFormer, an innovative model designed to overcome the combinatorial explosion challenge in the 3D Part Assembly (3D-PA) task. This task requires accurate prediction…

cs.CV2023★ 4 cited

VBench: Comprehensive Benchmark Suite for Video Generative Models

Ziqi Huang, Yinan He, Jiashuo Yu +13

Video generation has witnessed significant advancements, yet evaluating these models remains a challenge. A comprehensive evaluation benchmark for video generation is indispensable…