ReCap: Better Gaussian Relighting with Cross-Environment Captures
Jingzhi Li, Zongwei Wu, Eduard Zamfir, Radu Timofte
2025年份
4顶会引用
摘要
3DGS-DR GS-IR GShader R3DG ReCap (ours) 3DGS-DR GS-IR R3DG GShader ReCap (ours) GT Learned Env. Map Relight (fireplace) Relight (forest) (a) Visual comparison of learned environment maps and relighting quality. (b) Average relighting PSNR across unseen environment maps. Figure 1. ReCap shows a significant advantage in reconstructing environment maps with accurate tones and color fidelity. Both qualitative and quantitative assessments show that ReCap achieves more realistic and consistent relighting results under a range of unseen lighting conditions.
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引用它的顶会 Paper4
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- IR-HGP: Physically-Aware Gaussian Inverse Rendering for High-Illumination Scenes via Generative PriorsQingan Zhang, Wensheng Li, Chengying GaoCVPR 2026
- Disco-GS: Gaussian Splatting in Dynamic Color LightingAshish Kumar, A. N. RajagopalanCVPR 2026
它引用的顶会 Paper22
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- Plenoxels: Radiance Fields without Neural NetworksSara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen 等CVPR 2022 · 被引用 1,237 次
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