5:10Search results
- Category: AI, Machine Learning & Data
Results for “rendering”
13 videos
5:10
1:03:22binary visualization for reverse engineeringTalk
REcon 2013 - The Future of RE : Dynamic Binary Visualization (Christopher Domas)
Sébastien Duquette
3 HN recommenders
17:40
5:51single-image 3d reconstructionDemo
3-Sweep: Extracting Editable Objects from a Single Photo, SIGGRAPH ASIA 2013
Daniel CohenOr
2 HN recommenders
8:34neural photorealism enhancementDemo
Enhancing Photorealism Enhancement
ISL and Collaborators
2 HN recommenders
4:17neural denoising for ray tracingExplainer
AI Learns Noise Filtering For Photorealistic Videos | Two Minute Papers #215
Two Minute Papers
2 HN recommenders
8:093d mapping imageryExplainer
Google Earth’s Incredible 3D Imagery, Explained
Nat and Friends
2 HN recommenders
5:26neural fluid simulationExplainer
Neural Network Learns The Physics of Fluids and Smoke | Two Minute Papers #118
Two Minute Papers
1 HN recommender
5:21simulated locomotionDemo
Flexible Muscle-Based Locomotion for Bipedal Creatures
Goatstream
1 HN recommender
4:28
4:09
6:36facial reenactmentDemo
Face2Face: Real-time Face Capture and Reenactment of RGB Videos (CVPR 2016 Oral)
Matthias Niessner
Discussed on HN
3:213d reconstruction from videoDemo
ProFORMA: Probabilistic Feature-based On-line Rapid Model Acquisition
QiPanComputerVision
Discussed on HN
Sources and selection
Machine learning involves both the models and the data and systems around them. This collection spans neural networks, language models, computer vision, data engineering and the broader consequences of AI. Students can begin with an introductory topic; practitioners can use the subject links to find a more specific technical discussion.
Indie Picks is organized from video metadata and uploader descriptions; it is not a full-video editorial review. HN Library retains community discussions. Sources and data notes