The main focus of our workshop is on computer vision tasks that operate at instance-level, including both recognition (instance-level recognition - ILR) and generation (instance-level generation - ILG), denoted as ILR+G. More precisely, ILR+G is the task of identifying, comparing, and generating images of specific objects, scenes, or events.

This year, we expand the scope of our workshop to ILG and the potential synergy between ILG and ILR. We will organize a call for papers, and host keynote talks by renowned speakers and invited paper talks from the main conference.

The 2025 Instance-Level Recognition and Generation (ILR+G) Workshop is a follow-up of six successful editions of our previous workshops — the first two having focused only on landmark recognition (CVPRW18, CVPRW19), the following ones expanding to the domains of artworks and products (ECCVW20, ICCVW21), introducing the universal image embedding problem (ECCVW22), and the latest one introducing a call for papers (ECCVW24).