Papers › Object-Compositional Neural Implicit Surfaces

Object-Compositional Neural Implicit Surfaces

20 Jul 2022arXiv:2207.09686archive 2025-07-28

Qianyi Wu, Xian Liu, Yuedong Chen, Kejie Li, Chuanxia Zheng, Jianfei Cai, Jianmin Zheng

The neural implicit representation has shown its effectiveness in novel view synthesis and high-quality 3D reconstruction from multi-view images. However, most approaches focus on holistic scene representation yet ignore individual objects inside it, thus limiting potential downstream applications. In order to learn object-compositional representation, a few works incorporate the 2D semantic map as a cue in training to grasp the difference between objects. But they neglect the strong connections between object geometry and instance semantic information, which leads to inaccurate modeling of individual instance. This paper proposes a novel framework, ObjectSDF, to build an object-compositional neural implicit representation with high fidelity in 3D reconstruction and object representation. Observing the ambiguity of conventional volume rendering pipelines, we model the scene by combining the Signed Distance Functions (SDF) of individual object to exert explicit surface constraint. The key in distinguishing different instances is to revisit the strong association between an individual object's SDF and semantic label. Particularly, we convert the semantic information to a function of object SDF and develop a unified and compact representation for scene and objects. Experimental results show the superiority of ObjectSDF framework in representing both the holistic object-compositional scene and the individual instances. Code can be found at https://qianyiwu.github.io/objectsdf/

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Density qianyiwu/objsdf/code/model/network.py official repository ran no licence file found · pointer only · a9ae350bfe2387d1 · report
ErrorBoundSampler qianyiwu/objsdf/code/model/network.py official repository ran no licence file found · pointer only · 680430dff7215dc1 · report
LaplaceDensity qianyiwu/objsdf/code/model/network.py official repository ran fingerprinted no licence file found · pointer only · 09e2680d9044273a · report
RenderingNetwork qianyiwu/objsdf/code/model/network.py official repository ran no licence file found · pointer only · 14fa09f5e7ad79a6 · report
SemImplicitNetwork_V2 qianyiwu/objsdf/code/model/network.py official repository ran no licence file found · pointer only · fb6522109bea8a68 · report
UniformSampler qianyiwu/objsdf/code/model/network.py official repository ran no licence file found · pointer only · 86e6dc449696bb19 · report
get_camera_params qianyiwu/objsdf/code/model/network.py official repository ran · fixture could not drive it no licence file found · pointer only · 68ec2fe4015920e6 · report
get_sphere_intersections qianyiwu/objsdf/code/model/network.py official repository ran · our draft was wrong no licence file found · pointer only · 97d418f93cd5afa5 · report
quat_to_rot qianyiwu/objsdf/code/model/network.py official repository ran · our draft was wrong no licence file found · pointer only · bc3a5a05b7d69cc7 · report
RaySampler qianyiwu/objsdf/code/model/network.py official repository unverified no licence file found · pointer only · 3c38e4553bd7f0d4 · report
SemVolSDFNetwork_V2 qianyiwu/objsdf/code/model/network.py official repository unverified no licence file found · pointer only · a6f40545e8eab735 · report

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3D ReconstructionNovel View SynthesisObject

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