[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
-
Updated
Sep 17, 2024 - Python
#
in-the-wild
Here are 23 public repositories matching this topic...
[SIGGRAPH Asia 2024 (Journal Track)] StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal
-
Updated
Nov 26, 2024 - Python
[WACV 2025] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
-
Updated
Nov 24, 2024 - Python
[official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)
-
Updated
Nov 22, 2022 - Python
[CVPR'24] NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
uncertainty nerf neural-fields in-the-wild dynamic-scenes neural-radiance-fields neural-implicit-representations dinov2
-
Updated
Aug 23, 2024 - Python
CVPR 2022 - derender3d: A method for de-rendering a 3D object from a single image into shape, material, and lighting, that is trained in a weakly-supervised fashion relying only on rough shape estimates.
-
Updated
May 27, 2022 - Python
[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
-
Updated
Oct 3, 2023 - Python
Daily archiver & triage issue creator for new releases of CISA's Known Exploited Vulnerabilities list
-
Updated
Dec 13, 2024 - HTML
Mobile Android app for data collection in the wild: sensor measurements and self-reported labels describing the user's behavioral context.
data-collection context-awareness activity-tracking ubiquitous-computing mobile-sensing behavioral-context-recognition in-the-wild
-
Updated
May 16, 2018 - Java
Official implementations of the NexusSplats paper.
-
Updated
Dec 11, 2024 - Python
Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training
-
Updated
Nov 11, 2023 - Python
University Thesis project
c multithreading resnet object-detection data-preprocessing landmark-detection human-computer-interaction gaze-estimation 3d-modeling in-the-wild google-colaboratory computer-vision-opencv disability-assistance
-
Updated
Aug 7, 2024 - C++
Developing code on semantic segmentation for Extended Labeled Faces in the Wild
-
Updated
Aug 19, 2023 - Python
Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
domain-driven-design uncertainty eeg-signals representation-learning eeg-data uncertainty-quantification augmentation robustness domain-adaptation eeg-classification in-the-wild diagnostic-tool latent-space neurips out-of-distribution-detection healthcare-ai data-shift distribution-shift neurips-2022
-
Updated
Jul 12, 2023
[IEEE FG2021] PyTorch code for paper titled "Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild".
-
Updated
Dec 24, 2023 - Python
Official repo for "Audio-Visual Speech Recognition In-the-Wild: Multi-Angle Vehicle Cabin Corpus and Attention-based Method" in ICASSP 2024
signal-processing corpus speech-recognition multi-modal attention-mechanism avsr icassp spatio-temporal-features in-the-wild audio-visual icassp2024
-
Updated
Apr 8, 2024 - JavaScript
Animals object detection such as deer, horse, and rabbit in diverse settings using YOLOv5
-
Updated
Feb 6, 2024 - Jupyter Notebook
[ICCVW 2021] Official implementation: An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wild.
-
Updated
Oct 26, 2021 - Python
Classification Model for Detecting Aggressive Speech in the Wild
machine-learning classification ensemble-learning principal-component-analysis affective-computing svm-classifier k-nearest-neighbours k-means-clustering in-the-wild audio-detection
-
Updated
Apr 16, 2022 - Jupyter Notebook
Improve this page
Add a description, image, and links to the in-the-wild topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the in-the-wild topic, visit your repo's landing page and select "manage topics."