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Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting.

, , , , , , , , and . 3DV, page 137-147. IEEE, (2024)

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What Do Single-View 3D Reconstruction Networks Learn?, , , , , and . CVPR, page 3405-3414. Computer Vision Foundation / IEEE, (2019)Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers., and . CVPR, page 1936-1944. Computer Vision Foundation / IEEE Computer Society, (2018)Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting., , , , , , , , and . 3DV, page 137-147. IEEE, (2024)Enhancing Photorealism Enhancement., , and . CoRR, (2021)Looking Beyond Single Images for Contrastive Semantic Segmentation Learning., , , and . NeurIPS, page 3285-3297. (2021)Visual Perception with Synthetic Data.. Technical University of Darmstadt, Germany, (2020)MeshSDF: Differentiable Iso-Surface Extraction., , , , , , and . NeurIPS, (2020)Dancing under the stars: video denoising in starlight., , , and . CVPR, page 16220-16230. IEEE, (2022)Discriminative shape from shading in uncalibrated illumination., and . CVPR, page 1128-1136. IEEE Computer Society, (2015)DeepMesh: Differentiable Iso-Surface Extraction., , , , , , and . CoRR, (2021)