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Apr 4, 2024 · Our approach is trained alternatingly between the text and image branches: in one optimization step, we predict the mean and standard deviation from the text ...
Jun 11, 2024 · Our contributions are as follows: (i) We propose a vari- ational framework that leverages complementary strengths of two inherently ambiguous modalities for ...
Jun 3, 2024 · The paper introduces a new approach called "WorDepth" for monocular depth estimation using a variational language prior. WorDepth leverages language models ...
Apr 5, 2024 · WorDepth: Variational Language Prior for Monocular Depth Estimation. ... Three-dimensional (3D) reconstruction from a single image is an ill-posed problem with ...
Dec 5, 2023 · WorDepth: Variational Language Prior for Monocular Depth Estimation. Ziyao Zeng ...
Jun 20, 2024 · Ziyao Zeng and LAO DONG are presenting "WorDepth: Variational Language Prior for Monocular Depth Estimation" -- Poster #7 on Thursday, June 20, 10:30 - 12 ...
Jul 23, 2024 · Can Language Understand Depth? R Zhang*, Z Zeng*, Z Guo, Y Li. ACM ... WorDepth: Variational Language Prior for Monocular Depth Estimation. Z Zeng ...
Oct 7, 2023 · Our work gives compelling evidence that human language is inefficient in pre- cisely explaining the concept of depth to CLIP, with consequences for future works ...
Apr 4, 2024 · 本文研究了两种固有歧义的模态是否可以结合使用以产生度量尺度的重建。为了测试这一点,本文关注单目深度估计问题,即从单张图像和额外的文本描述中预测密集深度图的问题。