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While text-to-image models offer numerous benefits, they also pose significant societal risks. Detecting AI-generated images is crucial for mitigating these risks. Detection methods can be broadly categorized into passive and…

Cryptography and Security · Computer Science 2025-01-13 Moyang Guo , Yuepeng Hu , Zhengyuan Jiang , Zeyu Li , Amir Sadovnik , Arka Daw , Neil Gong

Generating multi-view images based on text or single-image prompts is a critical capability for the creation of 3D content. Two fundamental questions on this topic are what data we use for training and how to ensure multi-view consistency.…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Qi Zuo , Xiaodong Gu , Lingteng Qiu , Yuan Dong , Zhengyi Zhao , Weihao Yuan , Rui Peng , Siyu Zhu , Zilong Dong , Liefeng Bo , Qixing Huang

Recent video generative models have greatly improved the realism of AI-generated videos, yet their outputs still exhibit artifacts such as temporal inconsistencies, structural distortions, and semantic incoherence. While Multimodal Large…

As AI-driven document understanding and processing tools become increasingly prevalent in real-world applications, the need for rigorous evaluation standards has grown increasingly urgent. Existing benchmarks and evaluations often focus on…

Rapid advances in audio-video (AV) generation have enabled high-fidelity synthesis with synchronized sound, particularly for human-related scenarios involving speech and interactions. Yet evaluation for AV generation remains at an early…

Artificial Intelligence · Computer Science 2026-05-26 Jialiang Yang , Bin Xia , Ruihang Chu , Dingdong Wang , Wanke Xia , Zhun Mou , Tianyang Zhong , Yiting Zhao , Wenming Yang

The advent of AI has influenced many aspects of human life, from self-driving cars and intelligent chatbots to text-based image and video generation models capable of creating realistic images and videos based on user prompts…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Abhijay Ghildyal , Yuanhan Chen , Saman Zadtootaghaj , Nabajeet Barman , Alan C. Bovik

Artificial intelligence (AI) in media has advanced rapidly over the last decade. The introduction of Generative Adversarial Networks (GANs) improved the quality of photorealistic image generation. Diffusion models later brought a new era of…

Computer Vision and Pattern Recognition · Computer Science 2025-11-17 Redwan Hussain , Mizanur Rahman , Prithwiraj Bhattacharjee

With growing abilities of generative models, artificial content detection becomes an increasingly important and difficult task. However, all popular approaches to this problem suffer from poor generalization across domains and generative…

Computer Vision and Pattern Recognition · Computer Science 2024-06-24 Tatiana Gaintseva , Laida Kushnareva , German Magai , Irina Piontkovskaya , Sergey Nikolenko , Martin Benning , Serguei Barannikov , Gregory Slabaugh

Video generation has seen remarkable progress thanks to advancements in generative deep learning. However, generating long sequences remains a significant challenge. Generated videos should not only display coherent and continuous movement…

Computer Vision and Pattern Recognition · Computer Science 2026-01-01 Jingbo Yang , Adrian G. Bors

Research on video generation has recently made tremendous progress, enabling high-quality videos to be generated from text prompts or images. Adding control to the video generation process is an important goal moving forward and recent…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Zhengfei Kuang , Shengqu Cai , Hao He , Yinghao Xu , Hongsheng Li , Leonidas Guibas , Gordon Wetzstein

Recent advancements in video diffusion models enable the generation of photorealistic videos with impressive 3D consistency and temporal coherence. However, the extent to which these AI-generated videos simulate the 3D visual world remains…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Chirui Chang , Jiahui Liu , Zhengzhe Liu , Xiaoyang Lyu , Yi-Hua Huang , Xin Tao , Pengfei Wan , Di Zhang , Xiaojuan Qi

Despite recent advances in 3D human motion generation (MoGen) on standard benchmarks, existing text-to-motion models still face a fundamental bottleneck in their generalization capability. In contrast, adjacent generative fields, most…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Jing Lin , Ruisi Wang , Junzhe Lu , Ziqi Huang , Guorui Song , Ailing Zeng , Xian Liu , Chen Wei , Wanqi Yin , Qingping Sun , Zhongang Cai , Lei Yang , Ziwei Liu

Multimodal generative models are rapidly evolving, leading to a surge in the generation of realistic video and audio that offers exciting possibilities but also serious risks. Deepfake videos, which can convincingly impersonate individuals,…

Computer Vision and Pattern Recognition · Computer Science 2024-08-22 Hannah Lee , Changyeon Lee , Kevin Farhat , Lin Qiu , Steve Geluso , Aerin Kim , Oren Etzioni

The rapid surge of text-to-speech and face-voice reenactment models makes video fabrication easier and highly realistic. To encounter this problem, we require datasets that rich in type of generation methods and perturbation strategy which…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Zhixi Cai , Kartik Kuckreja , Shreya Ghosh , Akanksha Chuchra , Muhammad Haris Khan , Usman Tariq , Tom Gedeon , Abhinav Dhall

Video generation has advanced significantly, evolving from producing unrealistic outputs to generating videos that appear visually convincing and temporally coherent. To evaluate these video generative models, benchmarks such as VBench have…

Computer Vision and Pattern Recognition · Computer Science 2025-08-21 Dian Zheng , Ziqi Huang , Hongbo Liu , Kai Zou , Yinan He , Fan Zhang , Lulu Gu , Yuanhan Zhang , Jingwen He , Wei-Shi Zheng , Yu Qiao , Ziwei Liu

Recent generative models produce images with a level of authenticity that makes them nearly indistinguishable from real photos and artwork. Potential harmful use cases of these models, necessitate the creation of robust synthetic image…

Computer Vision and Pattern Recognition · Computer Science 2025-01-15 Delyan Boychev , Radostin Cholakov

Recent developments in 2D visual generation have been remarkably successful. However, 3D and 4D generation remain challenging in real-world applications due to the lack of large-scale 4D data and effective model design. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2024-11-06 Yuyang Zhao , Chung-Ching Lin , Kevin Lin , Zhiwen Yan , Linjie Li , Zhengyuan Yang , Jianfeng Wang , Gim Hee Lee , Lijuan Wang

The quality of video-text pairs fundamentally determines the upper bound of text-to-video models. Currently, the datasets used for training these models suffer from significant shortcomings, including low temporal consistency, poor-quality…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Zhiyu Tan , Xiaomeng Yang , Luozheng Qin , Hao Li

Recent advancements in audio-video joint generation models have demonstrated impressive capabilities in content creation. However, generating high-fidelity human-centric videos in complex, real-world physical scenes remains a significant…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Lei Zhu , Xing Cai , Yingjie Chen , Yiheng Li , Binxin Yang , Hao Liu , Jie Chen , Chen Li , Jing LYu

Modern multimodal generators can now produce scientific figures at near-publishable quality, creating a new challenge for visual forensics and research integrity. Unlike conventional AI-generated natural images, scientific figures are…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 You Hu , Chenzhuo Zhao , Changfa Mo , Haotian Liu , Xiaobai Li