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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 https://arxiv.org/abs/2004.10934
- DeepFaceDrawing: Deep Generation of Face Images from Sketches http://geometrylearning.com/paper/DeepFaceDrawing.pdf
- SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving https://arxiv.org/pdf/2005.12126.pdf
- PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models https://arxiv.org/abs/2003.03808
- Unsupervised Translation of Programming Languages https://arxiv.org/abs/2006.03511
- PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization https://arxiv.org/pdf/2004.00452.pdf
- High-Resolution Neural Face Swapping for Visual Effects: https://studios.disneyresearch.com/2020/06/29/high-resolution-neural-face-swapping-for-visual-effects/
- Swapping Autoencoder for Deep Image Manipulation https://arxiv.org/abs/2007.00653
- GPT-3: Language Models are Few-Shot Learners https://arxiv.org/pdf/2005.14165.pdf
- Learning Joint Spatial-Temporal Transformations for Video Inpainting https://arxiv.org/abs/2007.10247
- Image GPT — Generative Pretraining from Pixels https://openai.com/blog/image-gpt/
- Learning to Cartoonize Using White-box Cartoon Representations https://systemerrorwang.github.io/White-box-Cartoonization/paper/06791.pdf
- FreezeG: Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs https://arxiv.org/pdf/2002.10964.pdf
- Neural Re-Rendering of Humans from a Single Image http://gvv.mpi-inf.mpg.de/projects/NHRR/data/1415.pdf
- I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image https://www.catalyzex.com/paper/arxiv:2008.03713?fbclid=IwAR1pQGBhIwO4gW4mVZm1UEtyPLyZInsLZMyq3EoANaWxGO0CZ00Sj3ViM7I
- Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments https://arxiv.org/pdf/2004.02857.pdf
- RAFT: Recurrent All-Pairs Field Transforms for Optical Flow https://arxiv.org/pdf/2003.12039.pdf
- Crowdsampling the Plenoptic Function https://research.cs.cornell.edu/crowdplenoptic/
- Old Photo Restoration via Deep Latent Space Translation https://arxiv.org/pdf/2009.07047.pdf
- Neural circuit policies enabling auditable autonomy https://www.nature.com/articles/s42256-020-00237-3.epdf
- Lifespan Age Transformation Synthesis https://arxiv.org/pdf/2003.09764.pdf
- DeOldify https://arxiv.org/pdf/2003.09764.pdf
- COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning https://arxiv.org/pdf/2011.00597.pdf
- Stylized Neural Painting https://arxiv.org/abs/2011.08114
- Is a Green Screen Really Necessary for Real-Time Portrait Matting? https://arxiv.org/pdf/2011.11961.pdf
- ADA: Training Generative Adversarial Networks with Limited Data https://arxiv.org/abs/2006.06676
- Improving Data‐Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020MS002109
- NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis https://people.eecs.berkeley.edu/~pratul/nerv/
0:28 2020, A year in review 9:06 Where do you want AI to go?
0:28 2020, A year in review 9:06 Where do you want AI to go?
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