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Tuotuo Li

3 accepted papers

2025

IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images

CVPR 2025poster

Inverse rendering seeks to recover 3D geometry, surface material, and lighting from captured images, enabling advanced applications such as novel-view synthesis, relighting, and virtual object insertion. However, most existing techniques rely on high dynamic range (HDR) images as input, limiting acc…

Cited by 4SourcePDFScholar
2025

Textured Gaussians for Enhanced 3D Scene Appearance Modeling

CVPR 2025poster

3D Gaussian Splatting (3DGS) has recently emerged as a state-of-the-art 3D reconstruction and rendering technique due to its high-quality results and fast training and rendering time. However, pixels covered by the same Gaussian are always shaded in the same color up to a Gaussian falloff scaling fa…

Cited by 3SourcePDFScholar
2023

Learning Neural Duplex Radiance Fields for Real-Time View Synthesis

CVPR 2023poster

Neural radiance fields (NeRFs) enable novel view synthesis with unprecedented visual quality. However, to render photorealistic images, NeRFs require hundreds of deep multilayer perceptron (MLP) evaluations -- for each pixel. This is prohibitively expensive and makes real-time rendering infeasible,…

Cited by 28SourcePDFScholar