{"ID":5675241,"CreatedAt":"2026-07-03T01:40:09.565152011Z","UpdatedAt":"2026-07-05T08:42:29.012495859Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.01900","arxiv_id":"2607.01900","title":"FoundDP: Revisiting Weak Disparity Observability in Dual-Pixel Depth Estimation","abstract":"Dual-pixel (DP) imaging enables metric depth estimation from a single camera using sub-aperture disparity. However, the extremely small effective baseline limits disparity observability, leading to structural degradation and depth failure in textureless, low-contrast, or downsampled regions. Existing DP-based methods rely primarily on local disparity cues and therefore become unreliable when disparity signals are weak or ambiguous. To address this limitation, we propose \\emph{FoundDP}, a unified framework that integrates metric DP depth with global structural priors from a monocular depth foundation model. Our method preserves metric scale through DP-derived depth and leverages Vision Transformer (ViT) features to restore structural consistency in weak-disparity regions. To ensure reliable metric guidance under DP imaging conditions, we identify and mitigate ViT representation degradation induced by DP defocus blur via ViT feature alignment, enabling stable metric-guided depth estimation. Extensive experiments on synthetic and real-world DP benchmarks show that FoundDP delivers superior performance, with consistent gains in structural fidelity and metric accuracy, especially under reduced disparity observability. Code will be available at: https://github.com/EchoLighting/FoundDP","short_abstract":"Dual-pixel (DP) imaging enables metric depth estimation from a single camera using sub-aperture disparity. However, the extremely small effective baseline limits disparity observability, leading to structural degradation and depth failure in textureless, low-contrast, or downsampled regions. Existing DP-based methods r...","url_abs":"https://arxiv.org/abs/2607.01900","url_pdf":"https://arxiv.org/pdf/2607.01900v1","authors":"[\"Fengchen He\",\"Hao Xu\",\"Dayang Zhao\",\"Tingwei Quan\",\"Shaoqun Zeng\"]","published":"2026-07-02T08:57:38Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[\"Vision Transformer\",\"Transformer\"]","has_code":false,"code_links":[{"ID":613889,"CreatedAt":"2026-07-03T01:40:09.565152011Z","UpdatedAt":"2026-07-03T01:40:09.565152011Z","DeletedAt":null,"paper_id":5675241,"paper_url":"https://arxiv.org/abs/2607.01900","paper_title":"FoundDP: Revisiting Weak Disparity Observability in Dual-Pixel Depth Estimation","repo_url":"https://github.com/EchoLighting/FoundDP","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}