Overview

Welcome to The 3rd Workshop on Synthetic Data for Computer Vision (SynData4CV) at CVPR 2026! During the last decade, advances in computer vision have been catalyzed by the release of meticulously curated human-labeled datasets. Recently, people have increasingly resorted to synthetic data as an alternative to labor-intensive human-labeled datasets for its scalability, customizability, and cost-effectiveness. Synthetic data offers the potential to generate large volumes of diverse and high-quality vision data, tailored to specific scenarios and edge cases that are hard to capture in real-world data. However, challenges such as the domain gap between synthetic and real-world data, potential biases in synthetic generation, and the generalizability of models trained on synthetic data remain. This workshop aims to provide a forum for discussion and encouragement of further exploration in these areas. Topics of interest include, but are not limited to:

Effectiveness: What is the most effective way to generate and leverage synthetic data? Does synthetic data need to "look" realistic?
Efficiency and scalability: Can we make synthetic data generation more efficient and scalable without much sacrifice on the quality?
Benchmark and evaluation: What benchmark and evaluation methods are needed to assess the efficacy of synthetic data for computer vision?
Risks and ethical considerations: How can we mitigate the risks of generating and using synthetic data? How do we address relevant ethical questions, such as bias amplification in synthetic datasets?
Applications: What are other tasks in computer vision or other related fields (e.g., robotics, NLP) that could benefit from synthetic data?
Other open problems: How do we decide which type of data to use, synthetic or real-world data? What is the optimal way to combine both if both are available?

Invited Speakers

Jia Deng
Princeton University

Georgia Gkioxari
Caltech

Nupur Kumari
Carnegie Mellon University

Manling Li
Northwestern University

Andrew Owens
Cornell Tech

Antonio Torralba
Massachusetts Institute of Technology

Schedule

Workshop date: June 2026 (Full day)
Location: TBD

09:00 - 09:10	Opening Remarks
09:10 - 09:50	Invited Talk 1 (30 min talk / 10 min Q&A)
09:50 - 10:30	Invited Talk 2 (30 min talk / 10 min Q&A)
10:30 - 10:50	Coffee Break
10:50 - 11:30	Invited Talk 3 (30 min talk / 10 min Q&A)
11:30 - 12:10	Invited Talk 4 (30 min talk / 10 min Q&A)
12:10 - 13:30	Lunch
13:30 - 14:30	Poster Session
14:30 - 15:10	Invited Talk 5 (30 min talk / 10 min Q&A)
15:10 - 15:50	Invited Talk 6 (30 min talk / 10 min Q&A)
15:50 - 16:10	Coffee Break
16:10 - 16:25	Oral Presentation 1 (10 min talk / 5 min Q&A)
16:25 - 16:40	Oral Presentation 2 (10 min talk / 5 min Q&A)
16:40 - 17:00	Closing Remarks