Jacobson, Alec

11 publications

ICCV 2025 RoMo: Robust Motion Segmentation Improves Structure from Motion Lily Goli, Sara Sabour, Mark Matthews, Marcus A. Brubaker, Dmitry Lagun, Alec Jacobson, David J. Fleet, Saurabh Saxena, Andrea Tagliasacchi

CVPR 2024 Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields Lily Goli, Cody Reading, Silvia Sellán, Alec Jacobson, Andrea Tagliasacchi

CVPR 2024 VecFusion: Vector Font Generation with Diffusion Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michael Gharbi, Oliver Wang, Alec Jacobson, Evangelos Kalogerakis

NeurIPS 2022 Breaking Bad: A Dataset for Geometric Fracture and Reassembly Silvia Sellán, Yun-Chun Chen, Ziyi Wu, Animesh Garg, Alec Jacobson

CVPR 2022 Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors Yun-Chun Chen, Haoda Li, Dylan Turpin, Alec Jacobson, Animesh Garg

NeurIPS 2022 VectorAdam for Rotation Equivariant Geometry Optimization Selena Zihan Ling, Nicholas Sharp, Alec Jacobson

CVPR 2021 Neural Geometric Level of Detail: Real-Time Rendering with Implicit 3D Shapes Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, Sanja Fidler

ICCVW 2021 Supporting Reference Imagery for Digital Drawing Josh Holinaty, Alec Jacobson, Fanny Chevalier

NeurIPS 2020 Learning Deformable Tetrahedral Meshes for 3D Reconstruction Jun Gao, Wenzheng Chen, Tommy Xiang, Alec Jacobson, Morgan McGuire, Sanja Fidler

ICLR 2019 Beyond Pixel Norm-Balls: Parametric Adversaries Using an Analytically Differentiable Renderer Hsueh-Ti Derek Liu, Michael Tao, Chun-Liang Li, Derek Nowrouzezahrai, Alec Jacobson

NeurIPS 2019 Learning to Predict 3D Objects with an Interpolation-Based Differentiable Renderer Wenzheng Chen, Huan Ling, Jun Gao, Edward Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler