activity
20202025
most citedDoF-NeRF: Depth-of-Field Meets Neural Radiance Fields

33 citations · 81 across the 12 of their papers we have counts for

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11 papers · 1 filter

cs.CV2025

Dynamic View Synthesis from Small Camera Motion Videos

Huiqiang Sun, Xingyi Li, Juewen Peng +4

Novel view synthesis for dynamic D scenes poses a significant challenge. Many notable efforts use NeRF-based approaches to address this task and yield impressive results. Howeve…

cs.CV2025★ 4 cited

Dual-Camera All-in-Focus Neural Radiance Fields

Xianrui Luo, Zijin Wu, Juewen Peng +3

We present the first framework capable of synthesizing the all-in-focus neural radiance field (NeRF) from inputs without manual refocusing. Without refocusing, the camera will auto…

cs.CV2025

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

Xianrui Luo, Juewen Peng, Zhongang Cai +4

We introduce a novel framework for modeling high-fidelity, animatable 3D human avatars from motion-blurred monocular video inputs. Motion blur is prevalent in real-world dynamic vi…

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.CV2023★ 14 cited

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

Liao Shen, Xingyi Li, Huiqiang Sun +4

We study the problem of synthesizing a long-term dynamic video from only a single image. This is challenging since it requires consistent visual content movements given large camer…

cs.CV2023★ 17 cited

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

Xianrui Luo, Juewen Peng, Ke Xian +2

We consider the problem of realistic bokeh rendering from a single all-in-focus image. Bokeh rendering mimics aesthetic shallow depth-of-field (DoF) in professional photography, bu…

cs.CV2023★ 4 cited

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

Xianrui Luo, Juewen Peng, Weiyue Zhao +3

All-in-Focus (AIF) photography is expected to be a commercial selling point for modern smartphones. Standard AIF synthesis requires manual, time-consuming operations such as focal…

cs.CV2022★ 33 cited

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

Zijin Wu, Xingyi Li, Juewen Peng +3

Neural Radiance Field (NeRF) and its variants have exhibited great success on representing 3D scenes and synthesizing photo-realistic novel views. However, they are generally based…

cs.CV2022

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

Juewen Peng, Jianming Zhang, Xianrui Luo +3

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

cs.CV2022★ 1 cited

BokehMe: When Neural Rendering Meets Classical Rendering

Juewen Peng, Zhiguo Cao, Xianrui Luo +3

We propose BokehMe, a hybrid bokeh rendering framework that marries a neural renderer with a classical physically motivated renderer. Given a single image and a potentially imperfe…