New Research Presented at CVPR 2025 Demonstrates Breakthroughs in 3D Evaluation and Advanced Reasoning Capabilities
Technical papers deliver milestones increasing artificial intelligence capabilities
Nashville, Tenn., 10 June 2025 – Today, IEEE Computer Society (CS) and the Computer Vision Foundation (CVF) released details of the technical program for the 2025 Computer Vision and Pattern Recognition (CVPR) Conference. This year’s papers debut industry-leading breakthroughs in artificial intelligence (AI) and computer vision work.
“CVPR serves as an annual gathering of leaders in computer vision, bringing the community together to collaborate, exchange ideas, and learn,” said Fuxin Li, CVPR 2025 Program Co-Chair, and an associate professor at Oregon State University in Corvallis, Ore., U.S. “Many of the advances that have driven modern AI and robotics had foundations in this event, and 2025 papers are unveiling the critical findings that will shape the next phase of innovation.”
As the preeminent event for research and development (R&D) in computer vision, AI, machine learning (ML), augmented, virtual and mixed reality (AR/VR/MR), deep learning, and related fields, CVPR has been recognized by Research.com as the number one machine learning/artificial intelligence conference and the top computer science event.1 In addition, CVPR proceedings earned the number two spot in Google’s 2024 Scholar Metrics, outperforming prestigious scientific and medical journals and demonstrating the significance of the research presented at the conference.2
This year, the CVPR Program Committee received 13,008 paper submissions—a 13% increase over 2024—but only 2,872 were accepted, signaling a highly competitive acceptance rate of just 22%. Hot topic areas this year include 3D computer vision; 3D from multi-view and sensors; embodied computer vision; multimodal learning; and vision, language, and reasoning.
“"CVPR consistently serves as one of computer vision's most significant events," said Phillip Isola, CVPR 2025 Program Co-Chair and an associate professor at the Massachusetts Institute of Technology (MIT) in Boston, Mass., U.S. "The papers presented here spark new research, products, and applications, and what's next for the field. Essentially, attending CVPR can give you a glimpse into the future."
Digital copies of all final technical papers will be available on the conference virtual site for all registered attendees. For more information on the conference or to register, visit cvpr.thecvf.com.
About CVPR 2025
The Computer Vision and Pattern Recognition Conference (CVPR) is the preeminent computer vision event for new research in support of artificial intelligence (AI), machine learning (ML), augmented, virtual and mixed reality (AR/VR/MR), deep learning, and much more. Sponsored by the IEEE Computer Society (CS) and the Computer Vision Foundation (CVF), CVPR delivers the important advances in all areas of computer vision and pattern recognition and the various fields and industries they impact. With a first-in-class technical program, including tutorials and workshops, a leading-edge expo, and robust networking opportunities, CVPR, which is annually attended by more than 10,000 scientists and engineers, creates a one-of-a-kind opportunity for networking, recruiting, inspiration, and motivation.
CVPR 2025 takes place 11-15 June at Music City Center in Nashville, Tenn., U.S., and participants may also access sessions virtually. For more information about CVPR 2025, visit cvpr.thecvf.com.
About the Computer Vision Foundation
The Computer Vision Foundation (CVF) is a non-profit organization whose purpose is to foster and support research on all aspects of computer vision. Together with the IEEE Computer Society, it co-sponsors the two largest computer vision conferences, CVPR and the International Conference on Computer Vision (ICCV). Visit thecvf.com for more information.
About the IEEE Computer Society
Engaging computer engineers, scientists, academia, and industry professionals from all areas and levels of computing, the IEEE Computer Society (CS) serves as the world’s largest and most established professional organization of its type. IEEE CS sets the standard for the education and engagement that fuels continued global technological advancement. Through conferences, publications, and programs that inspire dialogue, debate, and collaboration, IEEE CS empowers, shapes, and guides the future of not only its 375,000+ community members, but the greater industry, enabling new opportunities to better serve our world. Visit computer.org for more information.
1 https://research.com/conference-rankings/computer-science/machine-learning, https://research.com/conference-rankings/computer-science
2 https://scholar.google.com/citations?view_op=top_venues