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20172023
most citedMirror-NeRF: Learning Neural Radiance Fields for Mirrors with Whitted-Style Ray Tracing

31 citations · 128 across the 22 of their papers we have counts for

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21 papers · 1 filter

cs.CV2023★ 4 cited

Graph-based Asynchronous Event Processing for Rapid Object Recognition

Yijin Li, Han Zhou, Bangbang Yang +4

Different from traditional video cameras, event cameras capture asynchronous events stream in which each event encodes pixel location, trigger time, and the polarity of the brightn…

cs.CV2023★ 1 cited

Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor

Xinyang Liu, Yijin Li, Yanbin Teng +4

Light-weight time-of-flight (ToF) depth sensors are compact and cost-efficient, and thus widely used on mobile devices for tasks such as autofocus and obstacle detection. However,…

cs.CV2023★ 31 cited

Mirror-NeRF: Learning Neural Radiance Fields for Mirrors with Whitted-Style Ray Tracing

Junyi Zeng, Chong Bao, Rui Chen +4

Recently, Neural Radiance Fields (NeRF) has exhibited significant success in novel view synthesis, surface reconstruction, etc. However, since no physical reflection is considered…

cs.CV2023★ 1 cited

DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene Generation

Xiaoliang Ju, Zhaoyang Huang, Yijin Li +3

We present DiffInDScene, a novel framework for tackling the problem of high-quality 3D indoor scene generation, which is challenging due to the complexity and diversity of the indo…

cs.CV2023

Long-term Visual Localization with Mobile Sensors

Shen Yan, Yu Liu, Long Wang +6

Despite the remarkable advances in image matching and pose estimation, image-based localization of a camera in a temporally-varying outdoor environment is still a challenging probl…

cs.CV2023★ 2 cited

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

Chong Bao, Yinda Zhang, Bangbang Yang +5

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, ei…