Search Results for author: Chong Bao

Found 5 papers, 2 papers with code

SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field

no code implementations CVPR 2023 Chong Bao, yinda zhang, Bangbang Yang, Tianxing Fan, Zesong Yang, Hujun Bao, Guofeng Zhang, Zhaopeng Cui

Despite the great success in 2D editing using user-friendly tools, such as Photoshop, semantic strokes, or even text prompts, similar capabilities in 3D areas are still limited, either relying on 3D modeling skills or allowing editing within only a few categories.

EC-SfM: Efficient Covisibility-based Structure-from-Motion for Both Sequential and Unordered Images

1 code implementation21 Feb 2023 Zhichao Ye, Chong Bao, Xin Zhou, Haomin Liu, Hujun Bao, Guofeng Zhang

Based on this general image connection, we propose a unified framework to efficiently reconstruct sequential images, unordered images, and the mixture of these two.

IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis

1 code implementation ICCV 2023 Weicai Ye, Shuo Chen, Chong Bao, Hujun Bao, Marc Pollefeys, Zhaopeng Cui, Guofeng Zhang

Existing inverse rendering combined with neural rendering methods can only perform editable novel view synthesis on object-specific scenes, while we present intrinsic neural radiance fields, dubbed IntrinsicNeRF, which introduce intrinsic decomposition into the NeRF-based neural rendering method and can extend its application to room-scale scenes.

Clustering Inverse Rendering +2

NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing

no code implementations25 Jul 2022 Bangbang Yang, Chong Bao, Junyi Zeng, Hujun Bao, yinda zhang, Zhaopeng Cui, Guofeng Zhang

Very recently neural implicit rendering techniques have been rapidly evolved and shown great advantages in novel view synthesis and 3D scene reconstruction.

3D Scene Reconstruction Neural Rendering +1

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