Cover Image

Any to Full: Prompting Depth Anything for Depth Completion in One Stage

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Zhiyuan, Liu, Ruofeng, Liu, Taichi, Zuo, Weijian, Wang, Shanshan, Hong, Zhiqing, Zhang, Desheng
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Depth Anything with Any Prior
by: Wang, Zehan, et al.
Published: (2025)

Towards 3D Objectness Learning in an Open World
by: Liu, Taichi, et al.
Published: (2025)

DA$^{2}$: Depth Anything in Any Direction
by: Li, Haodong, et al.
Published: (2025)

Depth Anything at Any Condition
by: Sun, Boyuan, et al.
Published: (2025)

Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation
by: Lin, Haotong, et al.
Published: (2024)

AnyDepth: Depth Estimation Made Easy
by: Ren, Zeyu, et al.
Published: (2026)

Depth Anything 3: Recovering the Visual Space from Any Views
by: Lin, Haotong, et al.
Published: (2025)

AURORA-KITTI: Any-Weather Depth Completion and Denoising in the Wild
by: Wang, Yiting, et al.
Published: (2026)

Propagating Sparse Depth via Depth Foundation Model for Out-of-Distribution Depth Completion
by: Chen, Shenglun, et al.
Published: (2025)

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration
by: Zuo, Yiming, et al.
Published: (2024)

Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy
by: Li, Bojian, et al.
Published: (2024)

Transparent Object Depth Completion
by: Zhou, Yifan, et al.
Published: (2024)

Amodal Depth Anything: Amodal Depth Estimation in the Wild
by: Li, Zhenyu, et al.
Published: (2024)

Adapting Depth Anything to Adverse Imaging Conditions with Events
by: Peng, Shihan, et al.
Published: (2026)

Learning Pixel-wise Continuous Depth Representation via Clustering for Depth Completion
by: Shenglun, Chen, et al.
Published: (2024)

Depth Anything V2
by: Yang, Lihe, et al.
Published: (2024)

Surgical Depth Anything: Depth Estimation for Surgical Scenes using Foundation Models
by: Lou, Ange, et al.
Published: (2024)

A Two-Stage Masked Autoencoder Based Network for Indoor Depth Completion
by: Sun, Kailai, et al.
Published: (2024)

Depth Any Panoramas: A Foundation Model for Panoramic Depth Estimation
by: Lin, Xin, et al.
Published: (2025)

UniDAC: Universal Metric Depth Estimation for Any Camera
by: Ganesan, Girish Chandar, et al.
Published: (2026)

Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
by: Guo, Yuliang, et al.
Published: (2025)

OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations
by: Zuo, Yiming, et al.
Published: (2024)

Depth Completion with Multiple Balanced Bases and Confidence for Dense Monocular SLAM
by: Xie, Weijian, et al.
Published: (2023)

Count Anything at Any Granularity
by: Liu, Chang, et al.
Published: (2026)

Distill Any Depth: Distillation Creates a Stronger Monocular Depth Estimator
by: He, Xiankang, et al.
Published: (2025)

Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint
by: Chen, Sixiang, et al.
Published: (2024)

Progressive Depth Decoupling and Modulating for Flexible Depth Completion
by: Yang, Zhiwen, et al.
Published: (2024)

Place Anything into Any Video
by: Liu, Ziling, et al.
Published: (2024)

MetricDepth: Enhancing Monocular Depth Estimation with Deep Metric Learning
by: Liu, Chunpu, et al.
Published: (2024)

MT-Depth: Multi-task Instance feature analysis for the Depth Completion
by: Nizamani, Abdul Haseeb, et al.
Published: (2025)

DepthLab: From Partial to Complete
by: Liu, Zhiheng, et al.
Published: (2024)

RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion
by: Wang, Haowen, et al.
Published: (2023)

Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
by: Chen, Sili, et al.
Published: (2025)

Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation
by: Cambrin, Daniele Rege, et al.
Published: (2024)

Towards Domain-agnostic Depth Completion
by: Xu, Guangkai, et al.
Published: (2022)

Online Video Depth Anything: Temporally-Consistent Depth Prediction with Low Memory Consumption
by: Feiden, Johann-Friedrich, et al.
Published: (2025)

All-day Depth Completion
by: Ezhov, Vadim, et al.
Published: (2024)

Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling
by: Wei, Ruofeng, et al.
Published: (2024)

SAM-DAQ: Segment Anything Model with Depth-guided Adaptive Queries for RGB-D Video Salient Object Detection
by: Lin, Jia, et al.
Published: (2025)

PanDepth: Joint Panoptic Segmentation and Depth Completion
by: Lagos, Juan, et al.
Published: (2022)