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20212026
most citedDoF-NeRF: Depth-of-Field Meets Neural Radiance Fields

33 citations · 87 across the 16 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024★ 2 cited

iControl3D: An Interactive System for Controllable 3D Scene Generation

Xingyi Li, Yizheng Wu, Jun Cen +6

3D content creation has long been a complex and time-consuming process, often requiring specialized skills and resources. While recent advancements have allowed for text-guided 3D…

cs.CV2024

Instance Consistency Regularization for Semi-Supervised 3D Instance Segmentation

Yizheng Wu, Zhiyu Pan, Kewei Wang +5

Large-scale datasets with point-wise semantic and instance labels are crucial to 3D instance segmentation but also expensive. To leverage unlabeled data, previous semi-supervised 3…

cs.CV2024

S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes

Xingyi Li, Zhiguo Cao, Yizheng Wu +4

Current 3D stylization methods often assume static scenes, which violates the dynamic nature of our real world. To address this limitation, we present S-DyRF, a reference-based spa…

cs.CV2024

Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations

Kewei Wang, Yizheng Wu, Jun Cen +5

The perception of motion behavior in a dynamic environment holds significant importance for autonomous driving systems, wherein class-agnostic motion prediction methods directly pr…

cs.CV2024★ 1 cited

DyBluRF: Dynamic Neural Radiance Fields from Blurry Monocular Video

Huiqiang Sun, Xingyi Li, Liao Shen +3

Recent advancements in dynamic neural radiance field methods have yielded remarkable outcomes. However, these approaches rely on the assumption of sharp input images. When faced wi…