Introducing Generative Scene Networks (GSN), a generative model for learning radiance fields for realistic scenes. With GSN we can sample scenes from the learned prior and move through them with a freely moving camera. Arxiv: arxiv.org/abs/2104.00670 Scenes sampled from the prior:

1/Are you worried that an ML model may be a stolen copy of your model? We introduce *Dataset Inference* in our #ICLR2021 Spotlight paper to resolve model ownership. Paper: arxiv.org/abs/2104.10706 Blog and Video: cleverhans.io/2021/04/28/is-… w/Mohammad Yaghini Nicolas Papernot

ACDC released: a new large-scale driving dataset for training and testing semantic segmentation algorithms on adverse visual conditions, such as fog, nighttime, rain, and snow. The dataset and benchmarks are available at acdc.vision.ee.ethz.ch #computervision #autonomouscars

The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth pdf: arxiv.org/pdf/2104.14540… abs: arxiv.org/abs/2104.14540 github: github.com/nianticlabs/ma…

Made a little visualisation for my latest project on free-view one-shot image generation 🤩 Just pick a photo, and generate images with full control of rotation and facial expressions. Or choose a driving video and let the magic happen✨Yann LeCun Try it for free using Litso APP!

Thanks to Devi Parikh for this handy review organization spreadsheet and the guide on how to use it. [Spreadsheet] docs.google.com/spreadsheets/d… [Guide] deviparikh.medium.com/how-we-write-r…

Very excited to share this work! It really shows that we can do amazing things with event cameras.

Find out more in their Q&A on Tuesday 10pm EDT

Great work Valentin Wolf!

Our paper "Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather" has been accepted to ICCV 2021! Our preprint is available at arxiv.org/abs/2108.05249. Code available at github.com/MartinHahner/L….

Our #ICCV2021 paper on Adaptive Task-Relational Context, leveraging neural architecture search and attention mechanisms in the multi-task learning setting, is now paired with source code! Menelaos Kanakis Stamatios Georgoulis paper: arxiv.org/abs/2104.13874 code: github.com/brdav/atrc

WACV decisions are out!

📯 ICCV 2021 Oral: "Warp Consistency for Unsupervised Learning of Dense Correspondences", with Martin Danelljan, Fisher Yu and Luc Van Gool. Join us Session 8, 13th 9AM and 15th 4PM (EDT) if you want to know more! paper: arxiv.org/abs/2104.03308 video: youtube.com/watch?v=IsMotj…

We are organizing a Challenge for Image Inpainting in the NTIRE 2022 Workshop that will be held on June in conjunction with CVPR 2022. Two cool things: a lot of different and challenging masks, and inpainting towards art creation. Repo: bit.ly/ntire22inp.

CVPR 2022: Call for Workshop Paper Sign up: git.io/SR22

Call for PhD research interns at Google: Conduct research on Generative AI (Diffusion Models, Large Language Models) for commerce. Deadline: Feb 15 Details are in the application form: docs.google.com/forms/d/e/1FAI…

Continuous diffusion had a good run—now it’s time for Discrete diffusion! Introducing Anchored Posterior Sampling (APS) APS outperforms discrete and continuous baselines in terms of performance & scaling on inverse problems, stylization, and text-guided editing.