2025
4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time.
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CoRR, June, 2025
Neural BRDF Importance Sampling by Reparameterization.
CoRR, May, 2025
Gaussian Mixture Flow Matching Models.
CoRR, April, 2025
RigAnything: Template-Free Autoregressive Rigging for Diverse 3D Assets.
CoRR, February, 2025
NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
RelitLRM: Generative Relightable Radiance for Large Reconstruction Models.
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Proceedings of the Thirteenth International Conference on Learning Representations, 2025
LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Buffer Anytime: Zero-Shot Video Depth and Normal from Image Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Turbo3D: Ultra-fast Text-to-3D Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Generating 3D-Consistent Videos from Unposed Internet Photos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
DMesh++: An Efficient Differentiable Mesh for Complex Shapes.
CoRR, 2024
PointRecon: Online Point-based 3D Reconstruction via Ray-based 2D-3D Matching.
CoRR, 2024
Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats.
CoRR, 2024
PBIR-NIE: Glossy Object Capture under Non-Distant Lighting.
CoRR, 2024
DMesh: A Differentiable Representation for General Meshes.
CoRR, 2024
MeshLRM: Large Reconstruction Model for High-Quality Mesh.
CoRR, 2024
LRM-Zero: Training Large Reconstruction Models with Synthesized Data.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Neural Gaffer: Relighting Any Object via Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
DMesh: A Differentiable Mesh Representation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model.
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Proceedings of the Twelfth International Conference on Learning Representations, 2024
Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting.
Proceedings of the Computer Vision - ECCV 2024, 2024
SUPERGAUSSIAN: Repurposing Video Models for 3D Super Resolution.
Proceedings of the Computer Vision - ECCV 2024, 2024
Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Controllable Dynamic Appearance for Neural 3D Portraits.
Proceedings of the International Conference on 3D Vision, 2024
2023
Dictionary Fields: Learning a Neural Basis Decomposition.
ACM Trans. Graph., August, 2023
Neural Free-Viewpoint Relighting for Glossy Indirect Illumination.
Comput. Graph. Forum, July, 2023
Factor Fields: A Unified Framework for Neural Fields and Beyond.
CoRR, 2023
MCNeRF: Monte Carlo Rendering and Denoising for Real-Time NeRFs.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023
NeuSample: Importance Sampling for Neural Materials.
Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023
One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects.
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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Strivec: Sparse Tri-Vector Radiance Fields.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
TensoIR: Tensorial Inverse Rendering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Photon-Driven Neural Reconstruction for Path Guiding.
ACM Trans. Graph., 2022
Differentiable Rendering of Neural SDFs through Reparameterization.
Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022
Rendering Neural Materials on Curved Surfaces.
Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022
ARF: Artistic Radiance Fields.
Proceedings of the Computer Vision - ECCV 2022, 2022
Physically-Based Editing of Indoor Scene Lighting from a Single Image.
Proceedings of the Computer Vision - ECCV 2022, 2022
TensoRF: Tensorial Radiance Fields.
Proceedings of the Computer Vision - ECCV 2022, 2022
NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Point-NeRF: Point-based Neural Radiance Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
RigNeRF: Fully Controllable Neural 3D Portraits.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Hierarchical neural reconstruction for path guiding using hybrid path and photon samples.
ACM Trans. Graph., 2021
NeuMIP: multi-resolution neural materials.
ACM Trans. Graph., 2021
Path graphs: iterative path space filtering.
ACM Trans. Graph., 2021
Advances in neural rendering.
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Proceedings of the SIGGRAPH 2021: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2021
NeLF: Neural Light-transport Field for Portrait View Synthesis and Relighting.
Proceedings of the 32nd Eurographics Symposium on Rendering, 2021
MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
NeuTex: Neural Texture Mapping for Volumetric Neural Rendering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets.
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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Sparse Sampling for Appearance Acquisition.
PhD thesis, 2020
Light stage super-resolution: continuous high-frequency relighting.
ACM Trans. Graph., 2020
Photon-Driven Neural Path Guiding.
CoRR, 2020
Neural Reflectance Fields for Appearance Acquisition.
CoRR, 2020
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets.
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CoRR, 2020
Deep Kernel Density Estimation for Photon Mapping.
Comput. Graph. Forum, 2020
Deep Multi Depth Panoramas for View Synthesis.
Proceedings of the Computer Vision - ECCV 2020, 2020
Deep Reflectance Volumes: Relightable Reconstructions from Multi-view Photometric Images.
Proceedings of the Computer Vision - ECCV 2020, 2020
Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View Images.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Deep view synthesis from sparse photometric images.
ACM Trans. Graph., 2019
Single image portrait relighting.
ACM Trans. Graph., 2019
Learning generative models for rendering specular microgeometry.
ACM Trans. Graph., 2019
2018
Deep image-based relighting from optimal sparse samples.
ACM Trans. Graph., 2018
Learning to reconstruct shape and spatially-varying reflectance from a single image.
ACM Trans. Graph., 2018
2017
Robust Energy Minimization for BRDF-Invariant Shape from Light Fields.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Minimal BRDF sampling for two-shot near-field reflectance acquisition.
ACM Trans. Graph., 2016
Sparse Sampling for Image-Based SVBRDF Acquisition.
Proceedings of the Eurographics Workshop on Material Appearance Modeling, 2016
2014
Dynamic hair capture using spacetime optimization.
ACM Trans. Graph., 2014