Leveraging a realistic synthetic database to learn Shape-from-Shading for estimating the colon depth in colonoscopy images
Fuente:
arXiv
Guardado en:
| Autores principales: | Ruano, Josué, Gómez, Martín, Romero, Eduardo, Manzanera, Antoine |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions
por: Hariat, Marwane, et al.
Publicado: (2026)
por: Hariat, Marwane, et al.
Publicado: (2026)
Generalizing monocular colonoscopy image depth estimation by uncertainty-based global and local fusion network
por: Du, Sijia, et al.
Publicado: (2024)
por: Du, Sijia, et al.
Publicado: (2024)
Improved monocular depth prediction using distance transform over pre-semantic contours with self-supervised neural networks
por: Hariat, Marwane, et al.
Publicado: (2026)
por: Hariat, Marwane, et al.
Publicado: (2026)
Towards synthetic generation of realistic wooden logs
por: Zolotarev, Fedor, et al.
Publicado: (2025)
por: Zolotarev, Fedor, et al.
Publicado: (2025)
SS3D: End2End Self-Supervised 3D from Web Videos
por: Hariat, Marwane, et al.
Publicado: (2026)
por: Hariat, Marwane, et al.
Publicado: (2026)
Multistable Shape from Shading Emerges from Patch Diffusion
por: Han, Xinran Nicole, et al.
Publicado: (2024)
por: Han, Xinran Nicole, et al.
Publicado: (2024)
A Geometric Multimodal Foundation Model Integrating Bp-MRI and Clinical Reports in Prostate Cancer Classification
por: Olmos, Juan A., et al.
Publicado: (2026)
por: Olmos, Juan A., et al.
Publicado: (2026)
Polyp detection in colonoscopy images using YOLOv11
por: Sahoo, Alok Ranjan, et al.
Publicado: (2025)
por: Sahoo, Alok Ranjan, et al.
Publicado: (2025)
ColonMapper: topological mapping and localization for colonoscopy
por: Morlana, Javier, et al.
Publicado: (2023)
por: Morlana, Javier, et al.
Publicado: (2023)
SYNTA: A novel approach for deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data
por: Mill, Leonid, et al.
Publicado: (2022)
por: Mill, Leonid, et al.
Publicado: (2022)
RealSynCol: a high-fidelity synthetic colon dataset for 3D reconstruction applications
por: Lena, Chiara, et al.
Publicado: (2026)
por: Lena, Chiara, et al.
Publicado: (2026)
DEM Refinement and Validation on the Lunar Surface Using Shape-from-Shading with Chandrayaan-2 OHRC Imagery
por: Aadi, Aaranay, et al.
Publicado: (2026)
por: Aadi, Aaranay, et al.
Publicado: (2026)
Topological SLAM in colonoscopies leveraging deep features and topological priors
por: Morlana, Javier, et al.
Publicado: (2024)
por: Morlana, Javier, et al.
Publicado: (2024)
A machine learning approach for image classification in synthetic aperture RADAR
por: Gaburro, Romina, et al.
Publicado: (2025)
por: Gaburro, Romina, et al.
Publicado: (2025)
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition
por: Gonzalez-Perez, Ruben, et al.
Publicado: (2024)
por: Gonzalez-Perez, Ruben, et al.
Publicado: (2024)
Leveraging feature communication in federated learning for remote sensing image classification
por: Duong, Anh-Kiet, et al.
Publicado: (2024)
por: Duong, Anh-Kiet, et al.
Publicado: (2024)
Physics-informed simulation framework for realistic sonar image generation and statistical validation
por: S, Kamal Basha, et al.
Publicado: (2026)
por: S, Kamal Basha, et al.
Publicado: (2026)
EndoUFM: Utilizing Foundation Models for Monocular depth estimation of endoscopic images
por: Yao, Xinning, et al.
Publicado: (2025)
por: Yao, Xinning, et al.
Publicado: (2025)
Using deep learning for predicting cleansing quality of colon capsule endoscopy images
por: Sharma, Puneet, et al.
Publicado: (2026)
por: Sharma, Puneet, et al.
Publicado: (2026)
Quantifying the uncertainty of model-based synthetic image quality metrics
por: Bench, Ciaran, et al.
Publicado: (2025)
por: Bench, Ciaran, et al.
Publicado: (2025)
The effects of using created synthetic images in computer vision training
por: Smutny, John W.
Publicado: (2025)
por: Smutny, John W.
Publicado: (2025)
Evaluation of image simulation open source solutions for simulation of synthetic images in lunar environment
por: Singla, Jai G, et al.
Publicado: (2026)
por: Singla, Jai G, et al.
Publicado: (2026)
Training deep learning based dynamic MR image reconstruction using synthetic fractals
por: Raman, Anirudh, et al.
Publicado: (2026)
por: Raman, Anirudh, et al.
Publicado: (2026)
Polyp segmentation in colonoscopy images using DeepLabV3++
por: Islam, Al Mohimanul, et al.
Publicado: (2024)
por: Islam, Al Mohimanul, et al.
Publicado: (2024)
Exploring Kolmogorov-Arnold networks for realistic image sharpness assessment
por: Yu, Shaode, et al.
Publicado: (2024)
por: Yu, Shaode, et al.
Publicado: (2024)
Long-Range depth estimation using learning based Hybrid Distortion Model for CCTV cameras
por: Pandat, Ami, et al.
Publicado: (2025)
por: Pandat, Ami, et al.
Publicado: (2025)
DeferredGS: Decoupled and Editable Gaussian Splatting with Deferred Shading
por: Wu, Tong, et al.
Publicado: (2024)
por: Wu, Tong, et al.
Publicado: (2024)
BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading
por: Schmidt, Jonathan, et al.
Publicado: (2025)
por: Schmidt, Jonathan, et al.
Publicado: (2025)
GUS-IR: Gaussian Splatting with Unified Shading for Inverse Rendering
por: Liang, Zhihao, et al.
Publicado: (2024)
por: Liang, Zhihao, et al.
Publicado: (2024)
SSP: A Simple and Safe automatic Prompt engineering method towards realistic image synthesis on LVM
por: Cheng, Weijin, et al.
Publicado: (2024)
por: Cheng, Weijin, et al.
Publicado: (2024)
Filtering After Shading With Stochastic Texture Filtering
por: Pharr, Matt, et al.
Publicado: (2024)
por: Pharr, Matt, et al.
Publicado: (2024)
Precise localization of corneal reflections in eye images using deep learning trained on synthetic data
por: Byrne, Sean Anthony, et al.
Publicado: (2023)
por: Byrne, Sean Anthony, et al.
Publicado: (2023)
Importance of realism in procedurally-generated synthetic images for deep learning: case studies in maize and canola
por: Khan, Nazifa Azam, et al.
Publicado: (2024)
por: Khan, Nazifa Azam, et al.
Publicado: (2024)
Monocular absolute depth estimation from endoscopy via domain-invariant feature learning and latent consistency
por: Li, Hao, et al.
Publicado: (2025)
por: Li, Hao, et al.
Publicado: (2025)
Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models
por: Duan, Zhongjie, et al.
Publicado: (2024)
por: Duan, Zhongjie, et al.
Publicado: (2024)
Olbedo: An Albedo and Shading Aerial Dataset for Large-Scale Outdoor Environments
por: Song, Shuang, et al.
Publicado: (2026)
por: Song, Shuang, et al.
Publicado: (2026)
VessShape: Few-shot 2D blood vessel segmentation by leveraging shape priors from synthetic images
por: Comin, Cesar H., et al.
Publicado: (2025)
por: Comin, Cesar H., et al.
Publicado: (2025)
NECO: NEural Collapse Based Out-of-distribution detection
por: Ammar, Mouïn Ben, et al.
Publicado: (2023)
por: Ammar, Mouïn Ben, et al.
Publicado: (2023)
NimbleReg: A light-weight deep-learning framework for diffeomorphic image registration
por: Legouhy, Antoine, et al.
Publicado: (2025)
por: Legouhy, Antoine, et al.
Publicado: (2025)
Hybridnet for depth estimation and semantic segmentation
por: Sánchez-Escobedo, Dalila, et al.
Publicado: (2024)
por: Sánchez-Escobedo, Dalila, et al.
Publicado: (2024)
Ejemplares similares
-
Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions
por: Hariat, Marwane, et al.
Publicado: (2026) -
Generalizing monocular colonoscopy image depth estimation by uncertainty-based global and local fusion network
por: Du, Sijia, et al.
Publicado: (2024) -
Improved monocular depth prediction using distance transform over pre-semantic contours with self-supervised neural networks
por: Hariat, Marwane, et al.
Publicado: (2026) -
Towards synthetic generation of realistic wooden logs
por: Zolotarev, Fedor, et al.
Publicado: (2025) -
SS3D: End2End Self-Supervised 3D from Web Videos
por: Hariat, Marwane, et al.
Publicado: (2026)