Generative Multiview Relighting for 3D Reconstruction under Extreme Illumination Variation
Hadi Alzayer, Philipp Henzler, Jonathan T. Barron, Jia-Bin Huang, Pratul P. Srinivasan, Dor Verbin
2025年份
10顶会引用
摘要
https://relight-to-reconstruct.github.io/ Input images with varying illumination Novel views under reference illumination Ours Baseline Reference light Ground truth Figure 1. 3D reconstruction under extreme illumination variation. We propose a method for 3D reconstruction from a set of images captured under strongly varying illumination. Our method recovers high-fidelity appearance details including specular highlights that prior state-of-the-art approaches cannot recover (top baseline: NeRF-Casting [47] with appearance embeddings, bottom baseline: NeROIC [25]).
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引用它的顶会 Paper10
- ROGR: Relightable 3D Objects using Generative RelightingJiapeng Tang, Matthew Levine, Dor Verbin, Stephan J. Garbin 等NeurIPS 2025 · 被引用 8 次
- PPISP: Physically-Plausible Compensation and Control of Photometric Variations in Radiance Field ReconstructionIsaac Deutsch, Nicolas Moënne-Loccoz, Gavriel State, Žan GojčičCVPR 2026 · 被引用 7 次
- LuxRemix: Lighting Decomposition and Remixing for Indoor ScenesRuofan Liang, Norman Müller, Ethan Weber, Duncan Zauss 等CVPR 2026 · 被引用 7 次
- Coupled Diffusion Sampling for Training-Free Multi-View Image EditingHadi Alzayer, Yunzhi Zhang, Chen Geng, Jia-Bin Huang 等CVPR 2026 · 被引用 6 次
- LightSwitch: Multi-View Relighting with Material-Guided DiffusionYehonathan Litman, Fernando De la Torre, Shubham TulsianiICCV 2025 · 被引用 2 次
它引用的顶会 Paper29
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser 等CVPR 2022 · 被引用 13,123 次
- Video Diffusion ModelsJonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan 等NeurIPS 2022 · 被引用 2,948 次
- Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance FieldsJonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan 等ICCV 2023 · 被引用 799 次
- NeRD: Neural Reflectance Decomposition from Image CollectionsMark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron 等ICCV 2021 · 被引用 608 次
- CAT3D: Create Anything in 3D with Multi-View Diffusion ModelsRuiqi Gao, Aleksander Holynski, Philipp Henzler, Arthur Brussee 等NeurIPS 2024 · 被引用 490 次
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