AI Rewind 2020: A Year of Amazing Papers & The future of AI - Crossminds logo
AI Rewind 2020: A Year of Amazing Papers & The future of AI
Dec 31, 2020
A quick walkthrough of some of the most impactful AI papers by release date and the perspectives on the future of AI by top leaders from the AI debate #2 (Gary Marcus, Luis Lamb, Fei-Fei Li, Ryan Calo...). Here is the list of papers: - YOLOv4: Optimal Speed and Accuracy of Object Detection - DeepFaceDrawing: Deep Generation of Face Images from Sketches - SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving - 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 - Crowdsampling the Plenoptic Function - Old Photo Restoration via Deep Latent Space Translation - Neural circuit policies enabling auditable autonomy - Lifespan Age Transformation Synthesis - DeOldify - 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 - NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis 0:28 2020, A year in review 9:06 Where do you want AI to go?
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