Search Results for author: Juewen Peng

Found 12 papers, 6 papers with code

Deblur-Avatar: Animatable Avatars from Motion-Blurred Monocular Videos

no code implementations23 Jan 2025 Xianrui Luo, Juewen Peng, Zhongang Cai, Lei Yang, Fan Yang, Zhiguo Cao, Guosheng Lin

Existing methods either (1) assume sharp image inputs, failing to address the detail loss introduced by motion blur, or (2) mainly consider blur by camera movements, neglecting the human motion blur which is more common in animatable avatars.

3DGS

iControl3D: An Interactive System for Controllable 3D Scene Generation

1 code implementation3 Aug 2024 Xingyi Li, Yizheng Wu, Jun Cen, Juewen Peng, Kewei Wang, Ke Xian, Zhe Wang, Zhiguo Cao, Guosheng Lin

To this end, a 3D creator interface has been developed to provide users with fine-grained control over the creation process.

Navigate Neural Rendering +1

Dynamic Neural Radiance Field From Defocused Monocular Video

no code implementations8 Jul 2024 Xianrui Luo, Huiqiang Sun, Juewen Peng, Zhiguo Cao

We introduce layered Depth-of-Field (DoF) volume rendering to model the defocus blur and reconstruct a sharp NeRF supervised by defocused views.

Dynamic Reconstruction NeRF +1

Make-It-4D: Synthesizing a Consistent Long-Term Dynamic Scene Video from a Single Image

no code implementations20 Aug 2023 Liao Shen, Xingyi Li, Huiqiang Sun, Juewen Peng, Ke Xian, Zhiguo Cao, Guosheng Lin

To animate the visual content, the feature point cloud is displaced based on the scene flow derived from motion estimation and the corresponding camera pose.

3D geometry Motion Estimation

Defocus to focus: Photo-realistic bokeh rendering by fusing defocus and radiance priors

no code implementations7 Jun 2023 Xianrui Luo, Juewen Peng, Ke Xian, Zijin Wu, Zhiguo Cao

To this end, we present a Defocus to Focus (D2F) framework to learn realistic bokeh rendering by fusing defocus priors with the all-in-focus image and by implementing radiance priors in layered fusion.

Hallucination

Point-and-Shoot All-in-Focus Photo Synthesis from Smartphone Camera Pair

no code implementations11 Apr 2023 Xianrui Luo, Juewen Peng, Weiyue Zhao, Ke Xian, Hao Lu, Zhiguo Cao

Benefiting from the multi-camera module in modern smartphones, we introduce a new task of AIF synthesis from main (wide) and ultra-wide cameras.

DoF-NeRF: Depth-of-Field Meets Neural Radiance Fields

1 code implementation1 Aug 2022 Zijin Wu, Xingyi Li, Juewen Peng, Hao Lu, Zhiguo Cao, Weicai Zhong

To mitigate this issue, we introduce DoF-NeRF, a novel neural rendering approach that can deal with shallow DoF inputs and can simulate DoF effect.

NeRF Neural Rendering

MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects

1 code implementation18 Jul 2022 Juewen Peng, Jianming Zhang, Xianrui Luo, Hao Lu, Ke Xian, Zhiguo Cao

Partial occlusion effects are a phenomenon that blurry objects near a camera are semi-transparent, resulting in partial appearance of occluded background.

BokehMe: When Neural Rendering Meets Classical Rendering

1 code implementation CVPR 2022 Juewen Peng, Zhiguo Cao, Xianrui Luo, Hao Lu, Ke Xian, Jianming Zhang

Based on this formulation, we implement the classical renderer by a scattering-based method and propose a two-stage neural renderer to fix the erroneous areas from the classical renderer.

Neural Rendering

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