Cover Image

Efficient Hybrid CNN-GNN Architecture for Monocular Depth Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Narayan, Ishan
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

EndoDepthL: Lightweight Endoscopic Monocular Depth Estimation with CNN-Transformer
by: Li, Yangke
Published: (2023)

Promoting CNNs with Cross-Architecture Knowledge Distillation for Efficient Monocular Depth Estimation
by: Zheng, Zhimeng, et al.
Published: (2024)

Improving Depth Gradient Continuity in Transformers: A Comparative Study on Monocular Depth Estimation with CNN
by: Yao, Jiawei, et al.
Published: (2023)

UMono: Physical Model Informed Hybrid CNN-Transformer Framework for Underwater Monocular Depth Estimation
by: Wang, Jian, et al.
Published: (2024)

APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation
by: Guesmi, Amira, et al.
Published: (2023)

PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage
by: Zavadski, Denis, et al.
Published: (2024)

EfficientDepth: A Fast and Detail-Preserving Monocular Depth Estimation Model
by: Litvynchuk, Andrii, et al.
Published: (2025)

WEDepth: Efficient Adaptation of World Knowledge for Monocular Depth Estimation
by: Wang, Gongshu, et al.
Published: (2025)

PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
by: Dong, Yue-Jiang, et al.
Published: (2023)

UniDepth: Universal Monocular Metric Depth Estimation
by: Piccinelli, Luigi, et al.
Published: (2024)

Survey on Monocular Metric Depth Estimation
by: Zhang, Jiuling
Published: (2025)

The Third Monocular Depth Estimation Challenge
by: Spencer, Jaime, et al.
Published: (2024)

The Fourth Monocular Depth Estimation Challenge
by: Obukhov, Anton, et al.
Published: (2025)

Scalable Autoregressive Monocular Depth Estimation
by: Wang, Jinhong, et al.
Published: (2024)

CNN2GNN: How to Bridge CNN with GNN
by: Jiao, Ziheng, et al.
Published: (2024)

DepthTCM: High Efficient Depth Compression via Physics-aware Transformer-CNN Mixed Architecture
by: Chang, Young-Seo, et al.
Published: (2026)

DepthART: Monocular Depth Estimation as Autoregressive Refinement Task
by: Gabdullin, Bulat, et al.
Published: (2024)

DepthFM: Fast Monocular Depth Estimation with Flow Matching
by: Gui, Ming, et al.
Published: (2024)

DepthMaster: Taming Diffusion Models for Monocular Depth Estimation
by: Song, Ziyang, et al.
Published: (2025)

Enhanced Encoder-Decoder Architecture for Accurate Monocular Depth Estimation
by: Das, Dabbrata, et al.
Published: (2024)

Vision-Language Embodiment for Monocular Depth Estimation
by: Zhang, Jinchang, et al.
Published: (2025)

Visual Autoregressive Modelling for Monocular Depth Estimation
by: El-Ghoussani, Amir, et al.
Published: (2025)

An Embedded Real-time Object Alert System for Visually Impaired: A Monocular Depth Estimation based Approach through Computer Vision
by: Anjom, Jareen, et al.
Published: (2025)

Focusable Monocular Depth Estimation
by: Du, Yuxin, et al.
Published: (2026)

PTC-Depth: Pose-Refined Monocular Depth Estimation with Temporal Consistency
by: Han, Leezy, et al.
Published: (2026)

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

Revisiting Gradient-based Uncertainty for Monocular Depth Estimation
by: Hornauer, Julia, et al.
Published: (2025)

Benchmark on Monocular Metric Depth Estimation in Wildlife Setting
by: Niccoli, Niccolò, et al.
Published: (2025)

Real-time Monocular Depth Estimation on Embedded Systems
by: Feng, Cheng, et al.
Published: (2023)

EDADepth: Enhanced Data Augmentation for Monocular Depth Estimation
by: Khanal, Nischal, et al.
Published: (2024)

Adaptive Depth-converted-Scale Convolution for Self-supervised Monocular Depth Estimation
by: Gao, Yanbo, et al.
Published: (2026)

TanDepth: Leveraging Global DEMs for Metric Monocular Depth Estimation in UAVs
by: Florea, Horatiu, et al.
Published: (2024)

FA-Depth: Toward Fast and Accurate Self-supervised Monocular Depth Estimation
by: Wang, Fei, et al.
Published: (2024)

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

Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
by: Talker, Lior, et al.
Published: (2022)

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World
by: Guo, Ji, et al.
Published: (2025)

Plane2Depth: Hierarchical Adaptive Plane Guidance for Monocular Depth Estimation
by: Liu, Li, et al.
Published: (2024)

Mamba-CNN: A Hybrid Architecture for Efficient and Accurate Facial Beauty Prediction
by: Boukhari, Djamel Eddine
Published: (2025)

Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation
by: Zhang, Wenyao, et al.
Published: (2025)

Language-Based Depth Hints for Monocular Depth Estimation
by: Auty, Dylan, et al.
Published: (2024)