activity
20232026
most citedExposure Completing for Temporally Consistent Neural High Dynamic Range Video Rendering

3 citations · 5 across the 15 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

cs.CV2024★ 3 cited

Exposure Completing for Temporally Consistent Neural High Dynamic Range Video Rendering

Jiahao Cui, Wei Jiang, Zhan Peng +2

High dynamic range (HDR) video rendering from low dynamic range (LDR) videos where frames are of alternate exposure encounters significant challenges, due to the exposure change an…

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

Dynamic Neural Radiance Field From Defocused Monocular Video

Xianrui Luo, Huiqiang Sun, Juewen Peng +1

Dynamic Neural Radiance Field (NeRF) from monocular videos has recently been explored for space-time novel view synthesis and achieved excellent results. However, defocus blur caus…

cs.CV2024

Pseudo-Labeling by Multi-Policy Viewfinder Network for Image Cropping

Zhiyu Pan, Kewei Wang, Yizheng Wu +4

Automatic image cropping models predict reframing boxes to enhance image aesthetics. Yet, the scarcity of labeled data hinders the progress of this task. To overcome this limitatio…

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

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…