activity
20182026
most citedA Neural Rendering Framework for Free-Viewpoint Relighting

5 citations · 14 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Pixel Cube: Diffusion-based Portrait Video Relighting Through Realistic Lighting Reproduction

Yufan Zhang, Yu Ji, Ayo Ajiboye +4

We present a diffusion-based method for relighting dynamic portrait videos with photorealism and temporal consistency. Our method is fueled by a hybrid training dataset that consis…

cs.CV2025

Seeing A 3D World in A Grain of Sand

Yufan Zhang, Yu Ji, Yu Guo +1

We present a snapshot imaging technique for recovering 3D surrounding views of miniature scenes. Due to their intricacy, miniature scenes with objects sized in millimeters are diff…

cs.CV2021

Light Field-Based Underwater 3D Reconstruction Via Angular Resampling

Yuqi Ding, Zhang Chen, Yu Ji +2

Recovering 3D geometry of underwater scenes is challenging because of non-linear refraction of light at the water-air interface caused by the camera housing. We present a light fie…

cs.CV2019★ 5 cited

A Neural Rendering Framework for Free-Viewpoint Relighting

Zhang Chen, Anpei Chen, Guli Zhang +4

We present a novel Relightable Neural Renderer (RNR) for simultaneous view synthesis and relighting using multi-view image inputs. Existing neural rendering (NR) does not explicitl…

cs.CV2019★ 4 cited

Non-Lambertian Surface Shape and Reflectance Reconstruction Using Concentric Multi-Spectral Light Field

Mingyuan Zhou, Yu Ji, Yuqi Ding +3

Recovering the shape and reflectance of non-Lambertian surfaces remains a challenging problem in computer vision since the view-dependent appearance invalidates traditional photo-c…

cs.CV2019★ 2 cited

PIV-Based 3D Fluid Flow Reconstruction Using Light Field Camera

Zhong Li, Jinwei Ye, Yu Ji +2

Particle Imaging Velocimetry (PIV) estimates the flow of fluid by analyzing the motion of injected particles. The problem is challenging as the particles lie at different depths bu…

cs.CV2019★ 3 cited

3D Face Reconstruction Using Color Photometric Stereo with Uncalibrated Near Point Lights

Zhang Chen, Yu Ji, Mingyuan Zhou +2

We present a new color photometric stereo (CPS) method that recovers high quality, detailed 3D face geometry in a single shot. Our system uses three uncalibrated near point lights…

cs.CV2018

Robust 3D Human Motion Reconstruction Via Dynamic Template Construction

Zhong Li, Yu Ji, Wei Yang +2

In multi-view human body capture systems, the recovered 3D geometry or even the acquired imagery data can be heavily corrupted due to occlusions, noise, limited field of- view, etc…