ICE-G: Image Conditional Editing of 3D Gaussian Splats

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Advancing extended reality with 3d gaussian splatting: Innovations and prospects

S Qiu, B **e, Q Liu, PA Heng - arxiv preprint arxiv:2412.06257, 2024 - arxiv.org
3D Gaussian Splatting (3DGS) has attracted significant attention for its potential to
revolutionize 3D representation, rendering, and interaction. Despite the rapid growth of …
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Instantstylegaussian: Efficient art style transfer with 3d gaussian splatting

XY Yu, JX Yu, LB Zhou, Y Wei, LL Ou - arxiv preprint arxiv:2408.04249, 2024 - arxiv.org
We present InstantStyleGaussian, an innovative 3D style transfer method based on the 3D
Gaussian Splatting (3DGS) scene representation. By inputting a target-style image, it quickly …
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Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation

Y Zhang, B Cui, Q Yang, Z Li, Y Xu - arxiv preprint arxiv:2412.11170, 2024 - arxiv.org
Text-to-3D generation has achieved remarkable progress in recent years, yet evaluating
these methods remains challenging for two reasons: i) Existing benchmarks lack fine …
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3D Gaussian Splatting in Robotics: A Survey

S Zhu, G Wang, D Kong, H Wang - arxiv preprint arxiv:2410.12262, 2024 - arxiv.org
Dense 3D representations of the environment have been a long-term goal in the robotics
field. While previous Neural Radiance Fields (NeRF) representation have been prevalent for …
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