activity
20232026
most citedSeeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images

31 citations · 40 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

LabBuilder: Protocol-Grounded 3D Layout Generation for Interactable and Safe Laboratory

Jianbao Cao, Zhangrui Zhao, Bohan Feng +15

Automated laboratories hold the promise of accelerating scientific discovery, yet their deployment is bottlenecked by the difficulty of designing safe and executable environments.…

cs.LG2024★ 1 cited

FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model

ZiDong Wang, Zeyu Lu, Di Huang +4

\textit{Nature is infinitely resolution-free}. In the context of this reality, existing diffusion models, such as Diffusion Transformers, often face challenges when processing imag…

cs.CL2024★ 1 cited

ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems

Xiangyuan Xue, Zeyu Lu, Di Huang +3

Much previous AI research has focused on developing monolithic models to maximize their intelligence, with the primary goal of enhancing performance on specific tasks. In contrast,…

cs.LG2024

PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines

ZiDong Wang, Zeyu Lu, Di Huang +4

In this paper, we introduce PredBench, a benchmark tailored for the holistic evaluation of spatio-temporal prediction networks. Despite significant progress in this field, there re…

cs.CV2024★ 2 cited

A Survey on Long Video Generation: Challenges, Methods, and Prospects

Chengxuan Li, Di Huang, Zeyu Lu +3

Video generation is a rapidly advancing research area, garnering significant attention due to its broad range of applications. One critical aspect of this field is the generation o…

cs.CV2024

FiT: Flexible Vision Transformer for Diffusion Model

Zeyu Lu, Zidong Wang, Di Huang +4

Nature is infinitely resolution-free. In the context of this reality, existing diffusion models, such as Diffusion Transformers, often face challenges when processing image resolut…

cs.CV2023★ 4 cited

MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators

Yaqi Zhang, Di Huang, Bin Liu +7

Generating realistic human motion from given action descriptions has experienced significant advancements because of the emerging requirement of digital humans. While recent works…

cs.CV2023★ 1 cited

FR-Net:A Light-weight FFT Residual Net For Gaze Estimation

Tao Xu, Bo Wu, Ruilong Fan +2

Gaze estimation is a crucial task in computer vision, however, existing methods suffer from high computational costs, which limit their practical deployment in resource-limited env…

cs.AI2023★ 31 cited

Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images

Zeyu Lu, Di Huang, Lei Bai +4

Photos serve as a way for humans to record what they experience in their daily lives, and they are often regarded as trustworthy sources of information. However, there is a growing…