Accurate 3D Face Reconstruction with Weakly-Supervised Learning - Code World

Accurate 3D Face Reconstruction with Weakly-Supervised Learning

Enterprise 2023-06-25 04:54:50 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/u010087338/article/details/131034684

Accurate 3D Face Reconstruction with Weakly-Supervised Learning

[Computer Vision|Face Modeling] Survey Report on 3D Face Reconstruction in the Deep Learning Era

Face Analysis and Recognition Based on 3D Reconstruction

3D Face Practice: Face Generation, Rendering and 3D Reconstruction Based on Face3D <3>

[3D reconstruction] SceneRF: self-supervised monocular 3D scene reconstruction based on NeRF

Downsampled Imaging Geometric Modeling for Accurate CT Reconstruction via Deep Learning

[Computer Vision|Face Modeling] Basic knowledge of 3D face reconstruction (introduction)

Detailed explanation of 3D reconstruction learning path

Active learning and weakly supervised learning

"Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network" paper study notes

Let’s talk about monocular 3D face reconstruction, tracking and its application today

FACEGOOD launch 100,000 people face key point tracking, redefining industrial-grade 3D face reconstruction

"Towards Fast, Accurate and Stable 3D Dense Face Alignment" 3DDFA-V2 paper study and engineering implementation

Face-to-face summary (3D vision algorithm & machine learning & deep learning) - continuous update

3D reconstruction based on deep learning (1): Introduction to 3D reconstruction, patchmatchNet environment deployment, how to test your own data set with colmap

读Self-supervised Single-view 3D Reconstruction via Semantic Consistency

Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction (Chinese translation - machine translation)

[3D reconstruction] [Deep learning] Pytorch implementation of NeRF code under windows10

[3D Reconstruction] [Deep Learning] [Dataset] Make your own NeRF (LLFF format) dataset based on COLMAP

[3D Reconstruction] [Deep Learning] NeRF image quality objective evaluation indicators: PSNR and SSIM

[Intensive reading of papers] CVRecon: Rethinking 3D Geometric Feature Learning For Neural Reconstruction

[Intensive reading of papers] Occupancy Networks: Learning 3D Reconstruction in Function Space

[3D Reconstruction] [Deep Learning] NeRF Code Pytorch Implementation - Data Loading (Part 1)

[3D Reconstruction] [Deep Learning] NeRF Code Pytorch Implementation - Data Loading (Part 2)

[3D Reconstruction] [Deep Learning] Pytorch Implementation of NeuS Code - Code Analysis in Test Phase (Part 1)

3D image reconstruction

3D reconstruction method

3D reconstruction and understanding

3D reconstruction dataset

simple 3D reconstruction

Recommended

Ranking

SpringBoot entry and the advantages and disadvantages

idea maven report system omitted for duplicate solutions

StackOverflow error when casting to a superclass

2019-06-06 Elastic products Compatibility

springcloud gateway集成oauth2.0

HTTP Headers的Request Headers

js declares arrays and adds object variables to arrays

Nginx summary (c) port-based virtual host configuration

6 Best Practices for Contract Management

Codeforces Round #631 (Div. 2)

Daily

More

2025-03-23(0)

2025-03-22(0)

2025-03-21(0)

2025-03-20(0)

2025-03-19(0)

2025-03-18(0)

2025-03-17(0)

2025-03-16(0)

2025-03-15(0)

2025-03-14(0)