Dec 6, 2023 · We introduced a simple denoising diffusion model for monocular depth ... Estimating depth from monocular images as classification using deep fully convolutional ...

Mar 16, 2024 · To train our model, we pool commonly-used computer vision datasets covering a range of tasks, including segmentation, object detection, depth estimation, and ...

Nov 11, 2023 · The objective for establishing dense correspondence between paired images con- sists of two terms: a data term and a prior term.

Oct 16, 2023 · In this section, we first present preliminaries of diffusion models, followed by reviewing the related research domains. Finally, we introduce the commonly used ...

Sep 4, 2023 · We present an innovative approach to 3D Human Pose. Estimation (3D-HPE) by integrating cutting-edge diffusion models, which have revolutionized diverse ...

Mar 15, 2024 · The objective for establishing dense correspondence between paired images con- sists of two terms: a data term and a prior term.

Dec 5, 2023 · TL;DR: FreeReg extracts cross-modality features from pretrained diffusion models and monocular depth estimators for accurate image to point cloud registration.

Nov 28, 2023 · In the HED task, our model effectively captures the robust boundaries, leading to visually appealing images with clear and sharp edge transitions, whereas ...

Sep 5, 2023 · Our proposed Diff3Det migrates the diffusion model to proposal generation for 3D object detection by considering the detection boxes as generative targets.

Aug 21, 2023 · In this paper, we propose a novel generative model capable of producing a sequence of photorealistic images consistent with a specified camera trajectory, and a.