Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Haotong, Peng, Sida, Chen, Jingxiao, Peng, Songyou, Sun, Jiaming, Liu, Minghuan, Bao, Hujun, Feng, Jiashi, Zhou, Xiaowei, Kang, Bingyi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BenchDepth: Are We on the Right Way to Evaluate Depth Foundation Models?
by: Li, Zhenyu, et al.
Published: (2025)
by: Li, Zhenyu, et al.
Published: (2025)
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
by: Chen, Sili, et al.
Published: (2025)
by: Chen, Sili, et al.
Published: (2025)
Depth Anything 3: Recovering the Visual Space from Any Views
by: Lin, Haotong, et al.
Published: (2025)
by: Lin, Haotong, et al.
Published: (2025)
Multi-view Reconstruction via SfM-guided Monocular Depth Estimation
by: Guo, Haoyu, et al.
Published: (2025)
by: Guo, Haoyu, et al.
Published: (2025)
Depth Anything V2
by: Yang, Lihe, et al.
Published: (2024)
by: Yang, Lihe, et al.
Published: (2024)
InfiniDepth: Arbitrary-Resolution and Fine-Grained Depth Estimation with Neural Implicit Fields
by: Yu, Hao, et al.
Published: (2026)
by: Yu, Hao, et al.
Published: (2026)
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
by: Yang, Lihe, et al.
Published: (2024)
by: Yang, Lihe, et al.
Published: (2024)
Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation
by: Xu, Zhen, et al.
Published: (2025)
by: Xu, Zhen, et al.
Published: (2025)
MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training
by: He, Xingyi, et al.
Published: (2025)
by: He, Xingyi, et al.
Published: (2025)
Representing Long Volumetric Video with Temporal Gaussian Hierarchy
by: Xu, Zhen, et al.
Published: (2024)
by: Xu, Zhen, et al.
Published: (2024)
Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots
by: Liu, Minghuan, et al.
Published: (2025)
by: Liu, Minghuan, et al.
Published: (2025)
Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers
by: Xu, Gangwei, et al.
Published: (2025)
by: Xu, Gangwei, et al.
Published: (2025)
UniVerse: Unleashing the Scene Prior of Video Diffusion Models for Robust Radiance Field Reconstruction
by: Cao, Jin, et al.
Published: (2025)
by: Cao, Jin, et al.
Published: (2025)
DepthSplat: Connecting Gaussian Splatting and Depth
by: Xu, Haofei, et al.
Published: (2024)
by: Xu, Haofei, et al.
Published: (2024)
Split4D: Decomposed 4D Scene Reconstruction Without Video Segmentation
by: Hu, Yongzhen, et al.
Published: (2025)
by: Hu, Yongzhen, et al.
Published: (2025)
Precise Action-to-Video Generation Through Visual Action Prompts
by: Wang, Yuang, et al.
Published: (2025)
by: Wang, Yuang, et al.
Published: (2025)
Amodal Depth Anything: Amodal Depth Estimation in the Wild
by: Li, Zhenyu, et al.
Published: (2024)
by: Li, Zhenyu, et al.
Published: (2024)
Any to Full: Prompting Depth Anything for Depth Completion in One Stage
by: Zhou, Zhiyuan, et al.
Published: (2026)
by: Zhou, Zhiyuan, et al.
Published: (2026)
FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction
by: Wang, Yifan, et al.
Published: (2025)
by: Wang, Yifan, et al.
Published: (2025)
Trace Anything: Representing Any Video in 4D via Trajectory Fields
by: Liu, Xinhang, et al.
Published: (2025)
by: Liu, Xinhang, et al.
Published: (2025)
MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources
by: Ma, Baorui, et al.
Published: (2026)
by: Ma, Baorui, et al.
Published: (2026)
Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy
by: Li, Bojian, et al.
Published: (2024)
by: Li, Bojian, et al.
Published: (2024)
Depth Anything at Any Condition
by: Sun, Boyuan, et al.
Published: (2025)
by: Sun, Boyuan, et al.
Published: (2025)
StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models
by: Yan, Yunzhi, et al.
Published: (2024)
by: Yan, Yunzhi, et al.
Published: (2024)
Surgical Depth Anything: Depth Estimation for Surgical Scenes using Foundation Models
by: Lou, Ange, et al.
Published: (2024)
by: Lou, Ange, et al.
Published: (2024)
FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution
by: Chou, Gene, et al.
Published: (2025)
by: Chou, Gene, et al.
Published: (2025)
MetricDepth: Enhancing Monocular Depth Estimation with Deep Metric Learning
by: Liu, Chunpu, et al.
Published: (2024)
by: Liu, Chunpu, et al.
Published: (2024)
ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation
by: Zhu, Ruijie, et al.
Published: (2024)
by: Zhu, Ruijie, et al.
Published: (2024)
Depth Prompting for Sensor-Agnostic Depth Estimation
by: Park, Jin-Hwi, et al.
Published: (2024)
by: Park, Jin-Hwi, et al.
Published: (2024)
UniDepth: Universal Monocular Metric Depth Estimation
by: Piccinelli, Luigi, et al.
Published: (2024)
by: Piccinelli, Luigi, et al.
Published: (2024)
Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models
by: Jin, Yudong, et al.
Published: (2025)
by: Jin, Yudong, et al.
Published: (2025)
Adapting Depth Anything to Adverse Imaging Conditions with Events
by: Peng, Shihan, et al.
Published: (2026)
by: Peng, Shihan, et al.
Published: (2026)
SM4Depth: Seamless Monocular Metric Depth Estimation across Multiple Cameras and Scenes by One Model
by: Liu, Yihao, et al.
Published: (2024)
by: Liu, Yihao, et al.
Published: (2024)
Depth Anything with Any Prior
by: Wang, Zehan, et al.
Published: (2025)
by: Wang, Zehan, et al.
Published: (2025)
Ready-to-React: Online Reaction Policy for Two-Character Interaction Generation
by: Cen, Zhi, et al.
Published: (2025)
by: Cen, Zhi, et al.
Published: (2025)
Generating Human Motion in 3D Scenes from Text Descriptions
by: Cen, Zhi, et al.
Published: (2024)
by: Cen, Zhi, et al.
Published: (2024)
Survey on Monocular Metric Depth Estimation
by: Zhang, Jiuling
Published: (2025)
by: Zhang, Jiuling
Published: (2025)
KineDepth: Utilizing Robot Kinematics for Online Metric Depth Estimation
by: Atar, Soofiyan, et al.
Published: (2024)
by: Atar, Soofiyan, et al.
Published: (2024)
FA-Depth: Toward Fast and Accurate Self-supervised Monocular Depth Estimation
by: Wang, Fei, et al.
Published: (2024)
by: Wang, Fei, et al.
Published: (2024)
DA$^{2}$: Depth Anything in Any Direction
by: Li, Haodong, et al.
Published: (2025)
by: Li, Haodong, et al.
Published: (2025)
Similar Items
-
BenchDepth: Are We on the Right Way to Evaluate Depth Foundation Models?
by: Li, Zhenyu, et al.
Published: (2025) -
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
by: Chen, Sili, et al.
Published: (2025) -
Depth Anything 3: Recovering the Visual Space from Any Views
by: Lin, Haotong, et al.
Published: (2025) -
Multi-view Reconstruction via SfM-guided Monocular Depth Estimation
by: Guo, Haoyu, et al.
Published: (2025) -
Depth Anything V2
by: Yang, Lihe, et al.
Published: (2024)