2020: A Year Full of Amazing AI papers- A Review
December 25, 2020 1:58 PM Subscribe
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and (when available) code. (Also available on Medium) Even with everything that happened in the world this year, we still had the chance to see a lot of amazing research come out. Especially in the field of artificial intelligence. Many important aspects were highlighted this year, for example, the ethical aspects, important biases, and much more. Artificial intelligence and our understanding of the human brain and its link to AI is constantly evolving, showing promising applications in the near future.
Here are the most interesting research papers of the year, in case you missed any of them. In short, it is basically a curated list of the latest breakthroughs in AI and Data Science by release date with a clear video explanation, link to a more in-depth article, and code (if applicable).
The complete reference to each paper is listed at the end of this repository.
The Full List
- YOLOv4: Optimal Speed and Accuracy of Object Detection
- DeepFaceDrawing: Deep Generation of Face Images from Sketches
- PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
- Unsupervised Translation of Programming Languages
- PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
- High-Resolution Neural Face Swapping for Visual Effects
- Swapping Autoencoder for Deep Image Manipulation
- GPT-3: Language Models are Few-Shot Learners
- Learning Joint Spatial-Temporal Transformations for Video Inpainting
- Image GPT - Generative Pretraining from Pixels
- Learning to Cartoonize Using White-box Cartoon Representations
- FreezeG: Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
- Neural Re-Rendering of Humans from a Single Image
- I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image
- Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments
- RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
- Crowd-sampling the Plenoptic Function
- Old Photo Restoration via Deep Latent Space Translation
- Neural circuit policies enabling auditable autonomy
- Lifespan Age Transformation Synthesis
- COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
- Stylized Neural Painting
- Is a Green Screen Really Necessary for Real-Time Portrait Matting?
- ADA: Training Generative Adversarial Networks with Limited Data
- Improving Data‐Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere