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Related papers: A Comprehensive Survey on 3D Content Generation

200 papers

The rapid development of Artificial Intelligence (AI) has led to the creation of powerful text generation models, such as large language models (LLMs), which are widely used for diverse applications. However, concerns surrounding…

Artificial Intelligence · Computer Science 2024-12-06 Fnu Neha , Deepshikha Bhati , Deepak Kumar Shukla , Angela Guercio , Ben Ward

Advancements in model algorithms, the growth of foundational models, and access to high-quality datasets have propelled the evolution of Artificial Intelligence Generated Content (AIGC). Despite its notable successes, AIGC still faces…

Computer Vision and Pattern Recognition · Computer Science 2024-06-24 Penghao Zhao , Hailin Zhang , Qinhan Yu , Zhengren Wang , Yunteng Geng , Fangcheng Fu , Ling Yang , Wentao Zhang , Jie Jiang , Bin Cui

Recent advances in deep learning have significantly enhanced generative AI capabilities across text, images, and audio. However, automatically evaluating the quality of these generated outputs presents ongoing challenges. Although numerous…

Computation and Language · Computer Science 2025-06-13 Tian Lan , Yang-Hao Zhou , Zi-Ao Ma , Fanshu Sun , Rui-Qing Sun , Junyu Luo , Rong-Cheng Tu , Heyan Huang , Chen Xu , Zhijing Wu , Xian-Ling Mao

Three-dimensional content generation has progressed from producing isolated, visually plausible shapes to constructing structured assets that can be deployed in real-time interactive environments. This trajectory is driven by converging…

Graphics · Computer Science 2026-05-12 Jiafeng Wu , Zhuofan Lou , Jian Liu , Dazhao Du , Chunchao Guo , Song Guo

The attempt to utilize machine learning in PCG has been made in the past. In this survey paper, we investigate how generative artificial intelligence (AI), which saw a significant increase in interest in the mid-2010s, is being used for…

Artificial Intelligence · Computer Science 2024-07-15 Xinyu Mao , Wanli Yu , Kazunori D Yamada , Michael R. Zielewski

Recent advances in deep learning have significantly transformed the field of 3D shape generation, enabling the synthesis of complex, diverse, and semantically meaningful 3D objects. This survey provides a comprehensive overview of the…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Nicolas Caytuiro , Ivan Sipiran

This paper offers the first comprehensive review of artificial intelligence (AI) research in the context of real camera content acquisition for entertainment purposes and is aimed at both researchers and cinematographers. Addressing the…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Adrian Azzarelli , Nantheera Anantrasirichai , David R Bull

The construction industry is a vital sector of the global economy, but it faces many productivity challenges in various processes, such as design, planning, procurement, inspection, and maintenance. Generative artificial intelligence (AI),…

Human video generation is a dynamic and rapidly evolving task that aims to synthesize 2D human body video sequences with generative models given control conditions such as text, audio, and pose. With the potential for wide-ranging…

Computer Vision and Pattern Recognition · Computer Science 2024-07-12 Wentao Lei , Jinting Wang , Fengji Ma , Guanjie Huang , Li Liu

The rapid advancement of Artificial Intelligence Generated Content (AIGC) technology has propelled audio-driven talking head generation, gaining considerable research attention for practical applications. However, performance evaluation…

Computer Vision and Pattern Recognition · Computer Science 2024-03-12 Weixia Zhang , Chengguang Zhu , Jingnan Gao , Yichao Yan , Guangtao Zhai , Xiaokang Yang

Artificial Intelligence Generated Content (AIGC) has garnered considerable attention for its impressive performance, with ChatGPT emerging as a leading AIGC model that produces high-quality responses across various applications, including…

Software Engineering · Computer Science 2023-04-12 Jian Wang , Shangqing Liu , Xiaofei Xie , Yi Li

Landscape design is a complex process that requires designers to engage in intricate planning, analysis, and decision-making. This process involves the integration and reconstruction of science, art, and technology. Traditional landscape…

Human-Computer Interaction · Computer Science 2025-03-24 Yue Xing , Wensheng Gan , Qidi Chen , Philip S. Yu

In the era of Artificial Intelligence Generated Content (AIGC), conditional multimodal synthesis technologies (e.g., text-to-image, text-to-video, text-to-audio, etc) are gradually reshaping the natural content in the real world. The key to…

Artificial Intelligence · Computer Science 2024-01-04 Weijian Mai , Jian Zhang , Pengfei Fang , Zhijun Zhang

As a prominent subfield of Artificial Intelligence Generated Content (AIGC), video generation has achieved notable advancements in recent years. The introduction of Sora-alike models represents a pivotal breakthrough in video generation…

Computer Vision and Pattern Recognition · Computer Science 2024-11-13 Linyuan Li , Jianing Qiu , Anujit Saha , Lin Li , Poyuan Li , Mengxian He , Ziyu Guo , Wu Yuan

Content generation modeling has emerged as a promising direction in computational pathology, offering capabilities such as data-efficient learning, synthetic data augmentation, and task-oriented generation across diverse diagnostic tasks.…

Image and Video Processing · Electrical Eng. & Systems 2025-09-09 Yuan Zhang , Xinfeng Zhang , Xiaoming Qi , Xinyu Wu , Feng Chen , Guanyu Yang , Huazhu Fu

3D AI-generated content (AIGC) is a passionate field that has significantly accelerated the creation of 3D models in gaming, film, and design. Despite the development of several groundbreaking models that have revolutionized 3D generation,…

Automatic 3D content creation seeks to replace labor-intensive modeling and scanning pipelines with systems that can synthesize or recover 3D assets directly from text or images. Its applications span video games, virtual reality, robotics,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Jiahao Li

Recently, AI-generated content (AIGC) has gained significant traction due to its powerful creation capability. However, the storage and transmission of large amounts of high-quality AIGC images inevitably pose new challenges for recent file…

Computer Vision and Pattern Recognition · Computer Science 2025-02-11 Yixin Gao , Runsen Feng , Xin Li , Weiping Li , Zhibo Chen

In this paper, we investigate a novel artificial intelligence generation task termed Generated Contents Enrichment (GCE). Conventional AI content generation produces visually realistic content by implicitly enriching the given textual…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Mahdi Naseri , Jiayan Qiu , Zhou Wang

This paper offers an insightful examination of how currently top-trending AI technologies, i.e., generative artificial intelligence (Generative AI) and large language models (LLMs), are reshaping the field of video technology, including…

Computer Vision and Pattern Recognition · Computer Science 2024-04-26 Pengyuan Zhou , Lin Wang , Zhi Liu , Yanbin Hao , Pan Hui , Sasu Tarkoma , Jussi Kangasharju