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Yingliang Zhang

7 accepted papers

2026

PanoVGGT: Feed-Forward 3D Reconstruction from Panoramic Imagery

CVPR 2026

Panoramic imagery offers a full 360^\circ field of view and is increasingly common in consumer devices. However, it introduces non-pinhole distortions that challenge joint pose estimation and 3D reconstruction. Existing feed-forward models, built for perspective cameras, generalize poorly to this se

Cited by 0SourcecodeScholar
2025

RePerformer: Immersive Human-centric Volumetric Videos from Playback to Photoreal Reperformance

CVPR 2025poster

Human-centric volumetric videos offer immersive free-viewpoint experiences, yet existing methods focus either on replaying general dynamic scenes or animating human avatars, limiting their ability to re-perform general dynamic scenes. In this paper, we present RePerformer, a novel Gaussian-based rep…

Cited by 0SourcePDFScholar
2024

HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splatting

CVPR 2024poster

We have recently seen tremendous progress in photo-real human modeling and rendering. Yet efficiently rendering realistic human performance and integrating it into the rasterization pipeline remains challenging. In this paper we present HiFi4G an explicit and compact Gaussian-based approach for high…

Cited by 49SourcePDFScholar
2022

Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-Time

CVPR 2022oral

Implicit neural representations such as Neural Radiance Field (NeRF) have focused mainly on modeling static objects captured under multi-view settings where real-time rendering can be achieved with smart data structures, e.g., PlenOctree. In this paper, we present a novel Fourier PlenOctree (FPO) te…

Cited by 178PDFScholar
2022

HumanNeRF: Efficiently Generated Human Radiance Field From Sparse Inputs

CVPR 2022poster

Recent neural human representations can produce high-quality multi-view rendering but require using dense multi-view inputs and costly training. They are hence largely limited to static models as training each frame is infeasible. We present HumanNeRF - a neural representation with efficient general…

Cited by 227PDFScholar
2021

NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering Using RGB Cameras

CVPR 2021poster

4D reconstruction and rendering of human activities is critical for immersive VR/AR experience. Recent advances still fail to recover fine geometry and texture results with the level of detail present in the input images from sparse multi-view RGB cameras. In this paper, we propose NeuralHumanFVV, a…

Cited by 50PDFScholar