Researchers have introduced Promptable Gaze Target Estimation (PGE), a novel end-to-end approach for analyzing human gaze in images. Unlike previous methods that rely on multi-stage pipelines and explicit inputs, PGE uses natural language or visual prompts to identify subjects and predict gaze targets. The new GazeAnywhere model, built for PGE, integrates subject localization and gaze estimation, achieving state-of-the-art results on benchmarks and demonstrating potential for clinical applications. A dataset of 120,000 prompt-annotated image pairs, Gaze-Co, has also been released to support this task. AI
IMPACT This new approach to gaze estimation could improve human-computer interaction and enable more sophisticated analysis in fields like clinical research.
RANK_REASON The cluster describes a new research paper detailing a novel task, model, and dataset in computer vision.
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- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- GazeAnywhere
- Gotit.pub
- Hugging Face
- Promptable Gaze Target Estimation
- ScienceCast
- CVPR 2026
- Promptable Gaze Target Estimation (PGE)
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