activity
20232026
most cited3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos

2 citations · 4 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Struct-GStream: Towards Efficient Free-Viewpoint Video Streaming at Low-Bitrates with Structured 3D Gaussians

Han Jiao, Jiakai Sun, Lei Zhao +4

Constructing photorealistic Free-Viewpoint Videos (FVVs) of dynamic scenes from a set of posed 2D images has been an intriguing yet challenging task in computer vision. Methods bas…

cs.CV2025

SPAST: Arbitrary Style Transfer with Style Priors via Pre-trained Large-scale Model

Zhanjie Zhang, Quanwei Zhang, Junsheng Luan +3

Given an arbitrary content and style image, arbitrary style transfer aims to render a new stylized image which preserves the content image's structure and possesses the style image…

cs.CV2025

DyArtbank: Diverse Artistic Style Transfer via Pre-trained Stable Diffusion and Dynamic Style Prompt Artbank

Zhanjie Zhang, Quanwei Zhang, Guangyuan Li +4

Artistic style transfer aims to transfer the learned style onto an arbitrary content image. However, most existing style transfer methods can only render consistent artistic styliz…

cs.CV2025★ 1 cited

MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer

Junsheng Luan, Guangyuan Li, Lei Zhao +1

Virtual try-on methods based on diffusion models achieve realistic try-on effects. They use an extra reference network or an additional image encoder to process multiple conditiona…

cs.CV2024

Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model

Chen Rao, Guangyuan Li, Zehua Lan +7

Current video deblurring methods have limitations in recovering high-frequency information since the regression losses are conservative with high-frequency details. Since Diffusion…

cs.CV2024

Rethink Arbitrary Style Transfer with Transformer and Contrastive Learning

Zhanjie Zhang, Jiakai Sun, Guangyuan Li +7

Arbitrary style transfer holds widespread attention in research and boasts numerous practical applications. The existing methods, which either employ cross-attention to incorporate…

cs.CV2024

Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution

Guangyuan Li, Chen Rao, Juncheng Mo +3

Recently, diffusion models (DM) have been applied in magnetic resonance imaging (MRI) super-resolution (SR) reconstruction, exhibiting impressive performance, especially with regar…

cs.CV2024★ 2 cited

3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos

Jiakai Sun, Han Jiao, Guangyuan Li +3

Constructing photo-realistic Free-Viewpoint Videos (FVVs) of dynamic scenes from multi-view videos remains a challenging endeavor. Despite the remarkable advancements achieved by c…

cs.CV2023★ 1 cited

ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank

Zhanjie Zhang, Quanwei Zhang, Guangyuan Li +7

Artistic style transfer aims to repaint the content image with the learned artistic style. Existing artistic style transfer methods can be divided into two categories: small model-…