5 citations · 8 across the 11 of their papers we have counts for
12 papers
MeteoVerse: Unified Weather-Controllable Video World Model
Renlong Wu, Guanqiao Wang, Xuan Shang +5
Video world models aim to predict future content from an observed scene while following prescribed camera motion. Real-world scene evolution is determined not only by changes in vi…
CompAdapt: Adaptable Composite Motion Modeling for Physics-Consistent Text-to-Video Generation
Haoran Qin, Renlong Wu, Tianyu Huang +3
While diffusion-based text-to-video (T2V) models have demonstrated impressive capability in generating realistic and temporally coherent videos, they often fail to respect fundamen…
4DHumanDiff: Direct Text-to-4DGS Generation for Consistent 360-Degree Dynamic Humans
Renlong Wu, Haoran Chen, Yuxiang Wei +3
Generating high-quality 360-degree dynamic human assets from text prompts is challenging. Existing methods usually synthesize monocular or multi-view videos first and then fit a 4D…
GS-RealBlur: A Flexible Data Acquisition Framework for Real-World Image Deblurring
Mingyang Chen, Zhilu Zhang, Honglei Xu +3
High-quality, large-scale paired data is essential for training learning-based image deblurring models. However, synthetic blurry images generally lack realism, while real-world ca…
Color3D: Controllable and Consistent 3D Colorization with Personalized Colorizer
Yecong Wan, Mingwen Shao, Renlong Wu +1
In this work, we present Color3D, a highly adaptable framework for colorizing both static and dynamic 3D scenes from monochromatic inputs, delivering visually diverse and chromatic…
Deblur4DGS: 4D Gaussian Splatting from Blurry Monocular Video
Renlong Wu, Zhilu Zhang, Mingyang Chen +2
Recent 4D reconstruction methods have yielded impressive results but rely on sharp videos as supervision. However, motion blur often occurs in videos due to camera shake and object…
NIR-Assisted Image Denoising: A Selective Fusion Approach and A Real-World Benchmark Dataset
Rongjian Xu, Zhilu Zhang, Renlong Wu +1
Despite the significant progress in image denoising, it is still challenging to restore fine-scale details while removing noise, especially in extremely low-light environments. Lev…
Dual-Camera Smooth Zoom on Mobile Phones
Renlong Wu, Zhilu Zhang, Yu Yang +1
When zooming between dual cameras on a mobile, noticeable jumps in geometric content and image color occur in the preview, inevitably affecting the user's zoom experience. In this…
Self-Supervised Video Desmoking for Laparoscopic Surgery
Renlong Wu, Zhilu Zhang, Shuohao Zhang +5
Due to the difficulty of collecting real paired data, most existing desmoking methods train the models by synthesizing smoke, generalizing poorly to real surgical scenarios. Althou…
Exposure Bracketing Is All You Need For A High-Quality Image
Zhilu Zhang, Shuohao Zhang, Renlong Wu +2
It is highly desired but challenging to acquire high-quality photos with clear content in low-light environments. Although multi-image processing methods (using burst, dual-exposur…
RBSR: Efficient and Flexible Recurrent Network for Burst Super-Resolution
Renlong Wu, Zhilu Zhang, Shuohao Zhang +2
Burst super-resolution (BurstSR) aims at reconstructing a high-resolution (HR) image from a sequence of low-resolution (LR) and noisy images, which is conducive to enhancing the im…
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
Ren Yang, Radu Timofte, Meisong Zheng +75
This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the…