30 citations · 35 across the 4 of their papers we have counts for
4 papers
Realiz3D: 3D Generation Made Photorealistic via Domain-Aware Learning
Ido Sobol, Kihyuk Sohn, Yoav Blum +4
We often aim to generate images that are both photorealistic and 3D-consistent, adhering to precise geometry, material, and viewpoint controls. Typically, this is achieved by fine-…
Capture, Canonicalize, Splat: Zero-Shot 3D Gaussian Avatars from Unstructured Phone Images
Emanuel Garbin, Guy Adam, Oded Krams +14
We present a novel, zero-shot pipeline for creating hyperrealistic, identity-preserving 3D avatars from a few unstructured phone images. Existing methods face several challenges: s…
3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation
Netalee Efrat, Max Bluvstein, Shaul Oron +3
3D-LaneNet+ is a camera-based DNN method for anchor free 3D lane detection which is able to detect 3d lanes of any arbitrary topology such as splits, merges, as well as short and p…
Semi-Local 3D Lane Detection and Uncertainty Estimation
Netalee Efrat, Max Bluvstein, Noa Garnett +3
We propose a novel camera-based DNN method for 3D lane detection with uncertainty estimation. Our method is based on a semi-local, BEV, tile representation that breaks down lanes i…