Edgar Sucar
120 posts
@SucarEdgar
Postdoc @Oxford_VGG | PhD Dyson Robotics Lab at Imperial College
OpenAI is hiring for SLAM engineer. Who would say.
🍺 LagerNVS (CVPR 2026) 🍺 LagerNVS is a generalizable, feed-forward, real-time Novel View Synthesis network which - performs rendering in real time, - generalizes to in-the-wild data, - works with and without known source cameras, - sets a new state-of-the-art among deterministic methods, - can be paired with a diffusion decoder for generative extrapolation. LagerNVS shows that 3D biases are useful for Novel View Synthesis but explicit 3D representations are not required to achieve them. We use 3D biases in (1) architecture design and (2) pre-training: (1) In NVS with explicit 3D representations (3DGS, NeRF) reconstruction is typically difficult and slow, but rendering is much faster and simpler. We mimic this process in the network design: we use a large (1B params) encoder and a small, lightweight decoder (ViT-B). This allows increasing the network capacity while still achieving real-time rendering. (2) The encoder, initialized from VGGT, was pre-trained with 3D reconstruction objectives, making the initial features 3D aware. Both substantially improve performance. Project page: szymanowiczs.github.io/lagernvs Code: github.com/facebookresear… Paper: arxiv.org/abs/2603.20176 Models: huggingface.co/collections/fa… Work done with @jianyuan_wang @MinghaoChen23 Christian Rupprecht and Andrea Vedaldi
@GaryMarcus @ylecun @demishassabis You were never alone, Gary, though you were the first to bite the bullet, to fight the good fight, and to make the argument well, again and again, for the limitations of LLMs. I salute you for this good service!
