Zan Gojcic (original) (raw)
I'm a Senior Research Manager at NVIDIA in Zurich, leading a team focused on advancing neural reconstruction and generative world simulation for PhysicalAI. Our mission is to develop high-fidelity simulation environments that enable autonomous agents to be trained and evaluated in closed-loop systems.
Publications

CVPR 2026
DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer
Yuxuan Zhang*, Katarína Tóthová*, Zian Wang, Kangxue Yin, Haithem Turki, Riccardo de Lutio, Yen-Yu Chang, Or Litany, Sanja Fidler, Zan Gojcic

CVPR 2026
VGG-T3: Offline Feed-Forward 3D Reconstruction at Scale
Sven Elflein, Ruilong Li, Sérgio Agostinho, Zan Gojcic, Laura Leal-Taixé, Qunjie Zhou, Aljosa Osep

CVPR 2026
PPISP: Physically-Plausible Compensation and Control of Photometric Variations in Radiance Field Reconstruction
Isaac Deutsch*, Nicolas Moënne-Loccoz*, Gavriel State, Zan Gojcic

ArXiv 2026
Test-Time Training with KV Binding Is Secretly Linear Attention Reconstruction
Junchen Liu*, Sven Elflein, Or Litany, Zan Gojcic, Ruilong Li*

ICLR 2026
Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation
Sherwin Bahmani, Tianchang Shen, Jiawei Ren, Jiahui Huang, Yifeng Jiang, Haithem Turki, Andrea Tagliasacchi, David B. Lindell, Zan Gojcic, Sanja Fidler, Huan Ling, Jun Gao*, Xuanchi Ren*

ICLR 2026
SimULi: Real-Time LiDAR and Camera Simulation with Unscented Transforms
Haithem Turki, Qi Wu, Xin Kang, Janick Martinez Esturo, Shengyu Huang, Ruilong Li, Zan Gojcic, Riccardo de Lutio

NeurIPS 2025 - Spotlight
UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting
Kai He, Ruofan Liang, Jacob Munkberg, Jon Hasselgren, Nandita Vijaykumar, Alexander Keller, Sanja Fidler, Igor Gilitschenski, Zan Gojcic, Zian Wang

NeurIPS 2025
LuxDiT: Lighting Estimation with Video Diffusion Transformer
Ruofan Liang, Kai He, Zan Gojcic, Igor Gilitschenski, Sanja Fidler, Nandita Vijaykumar, Zian Wang

NeurIPS 2025
Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos
Hanxue Liang*, Jiawei Ren*, Ashkan Mirzaei*, Antonio Torralba, Ziwei Liu, Igor Gilitschenski, Sanja Fidler, Cengiz Oztireli, Huan Ling, Zan Gojcic*, Jiahui Huang*

ICCV 2025
Controllable Weather Synthesis and Removal with Video Diffusion Models
Chih-Hao Lin, Zian Wang, Ruofan Liang, Yuxuan Zhang, Sanja Fidler, Shenlong Wang, Zan Gojcic

CVPR 2025 - Oral (Best Paper Award candidate)
Difix3D+: Improving 3D Reconstructions with Single-Step Diffusion Models
Jay Zhangjie Wu*, Yuxuan Zhang*, Haithem Turki, Xuanchi Ren, Jun Gao, Mike Zheng Shou, Sanja Fidler, Zan Gojcic*, Huan Ling*

CVPR 2025 - Oral
3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting
Qi Wu*, Janick Martinez Esturo*, Ashkan Mirzaei, Nicolas Moenne-Loccoz, Zan Gojcic

CVPR 2025 - Oral
DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models
Ruofan Liang*, Zan Gojcic, Huan Ling, Jacob Munkberg, Jon Hasselgren, Zhi-Hao Lin, Jun Gao, Alexander Keller, Nandita Vijaykumar, Sanja Fidler, Zian Wang*

ICLR 2025 - Spotlight
OmniRe: Omni Urban Scene Reconstruction
Ziyu Chen, Jiawei Yang, Jiahui Huang, Riccardo de Lutio, Janick Martinez Esturo, Boris Ivanovic, Or Litany, Zan Gojcic, Sanja Fidler, Marco Pavone, Li Song, Yue Wang

SiGGRAPH Asia 2024
3D Gaussian Ray Tracing: Fast Tracing of Particle Scenes
Nicolas Moenne-Loccoz*, Ashkan Mirzaei*, Or Perel, Riccardo De Lutio, Janick Martinez Esturo, Gavriel State, Sanja Fidler, Nicholas Sharp*, Zan Gojcic*

ECCV 2024
Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering
Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar, Sanja Fidler, Zian Wang

NeurIPS 2024 - Spotlight
Memorize What Matters: Emergent Scene Decomposition from Multitraverse
Yiming Li, Zehong Wang, Yue Wang, and Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, Jose M Alvarez

ArXiv 2024
RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting
Ashkan Mirzaei, Riccardo De Lutio, Seung Wook Kim, David Acuna, Jonathan Kelly, Sanja Fidler, Igor Gilitschenski, Zan Gojcic

CVPR 2024 - Highlight
Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata
Dongsu Zhang , Francis Williams , Zan Gojcic , Karsten Kreis , Sanja Fidler , Young Min Kim , Amlan Kar

Adaptive Shells for Efficient Neural Radiance Field Rendering
Zian Wang*, Tianchang Shen*, Merlin Nimier-David*, Nicholas Sharp, Jun Gao, Alexander Keller, Sanja Fidler, Thomas Müller, Zan Gojcic

SiGGRAPH Asia 2023
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization
Tianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp*, Jun Gao*

ICCV 2023
Neural LiDAR Fields for Novel View Synthesis
Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany

ICCV 2023
Towards Viewpoint Robustness in Bird’s Eye View Segmentation
Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, Jose Alvarez

CVPR 2023
Neural Kernel Surface Reconstruction
Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams

CVPR 2023
Neural Fields meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes
Zian Wang, Tianchang Shen, Jun Gao, Shengyu Huang, Jacob Munkberg, Jon Hasselgren, Zan Gojcic, Wenzheng Chen, Sanja Fidler

NeurIPS 2022
LION: Latent Point Diffusion Models for 3D Shape Generation
Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis

NeurIPS 2022
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler

ECCV 2022
Dynamic 3D Scene Analysis by Point Cloud Accumulation
Shengyu Huang, Zan Gojcic, Jiahui Huang, Andreas Wieser, Konrad Schindler

T-PAMI 2022
Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization
Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas Guibas, Shi-Min Hu

CVPR 2022
Neural Fields as Learnable Kernels for 3D Reconstruction
Francis Williams*, Zan Gojcic*, Sameh Khamis, Sanja Fidler, Or Litany

CVPR 2021 - Oral
Weakly Supervised Learning of Rigid 3D Scene Flow
Zan Gojcic, Or Litany, Andreas Wieser, Leonidas Guibas, Tolga Birdal

CVPR 2021 - Oral
Registration of 3D Point Clouds with Low Overlap
Shengyu Huang*, Zan Gojcic*, Mikhail Usvyatsov, Andreas Wieser, Konrad Schindler

NeurIPS 2020 - Spotlight
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas Guibas

CVPR 2020
Learning Multiview 3D Point Cloud Registration
Zan Gojcic*, Caifa Zhou*, Jan D. Wegner, Leonidas Guibas, Tolga Birdal

CVPR 2020
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser
Experience
11/2021 - Ongoing
Senior Research Manager — NVIDIA
Manager: Prof. Sanja Fidler
3/2021 - 9/2021
Research Scientist Intern — NVIDIA Toronto AI Lab
Manager: Prof. Sanja Fidler
1/2020 - 3/2020
Research Intern — Geometric Computation group – Stanford University
Advisor: Prof. Leonidas Guibas
Education
2017—2021
ETH Zurich
Ph.D. in 3D Computer Vision
Advisor: Prof. Andreas Wieser
2013—2016
TU Graz
MSc. S. in Geomatics Science
2010—2013
Univeristy of Ljubljana
BSc. S. in Geoinformation