72 citations · 89 across the 14 of their papers we have counts for
14 papers
Wonder: Video World Model Done Better
Jiacong Xu, Hanwen Jiang, Zhixin Shu +3
We present Wonder, a general-purpose video world model for real-time, camera-controllable world exploration. Given an image or a conditional video, Wonder constructs a playable wor…
TokenLight: Precise Lighting Control in Images using Attribute Tokens
Sumit Chaturvedi, Yannick Hold-Geoffroy, Mengwei Ren +5
This paper presents a method for image relighting that enables precise and continuous control over multiple illumination attributes in a photograph. We formulate relighting as a co…
Endless World: Real-Time 3D-Aware Long Video Generation
Ke Zhang, Yiqun Mei, Jiacong Xu +1
Producing long, coherent video sequences with stable 3D structure remains a major challenge, particularly in streaming scenarios. Motivated by this, we introduce Endless World, a r…
RELIC: Interactive Video World Model with Long-Horizon Memory
Yicong Hong, Yiqun Mei, Chongjian Ge +11
A truly interactive world model requires three key ingredients: real-time long-horizon streaming, consistent spatial memory, and precise user control. However, most existing approa…
FreeViS: Training-free Video Stylization with Inconsistent References
Jiacong Xu, Yiqun Mei, Ke Zhang +1
Video stylization plays a key role in content creation, but it remains a challenging problem. Naïvely applying image stylization frame-by-frame hurts temporal consistency and reduc…
Think Before You Diffuse: Infusing Physical Rules into Video Diffusion
Ke Zhang, Cihan Xiao, Jiacong Xu +2
Recent video diffusion models have demonstrated their great capability in generating visually-pleasing results, while synthesizing the correct physical effects in generated videos…
Lux Post Facto: Learning Portrait Performance Relighting with Conditional Video Diffusion and a Hybrid Dataset
Yiqun Mei, Mingming He, Li Ma +9
Video portrait relighting remains challenging because the results need to be both photorealistic and temporally stable. This typically requires a strong model design that can captu…
Reference-based Controllable Scene Stylization with Gaussian Splatting
Yiqun Mei, Jiacong Xu, Vishal M. Patel
Referenced-based scene stylization that edits the appearance based on a content-aligned reference image is an emerging research area. Starting with a pretrained neural radiance fie…
Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections
Jiacong Xu, Yiqun Mei, Vishal M. Patel
Photographs captured in unstructured tourist environments frequently exhibit variable appearances and transient occlusions, challenging accurate scene reconstruction and inducing a…
Holo-Relighting: Controllable Volumetric Portrait Relighting from a Single Image
Yiqun Mei, Yu Zeng, He Zhang +6
At the core of portrait photography is the search for ideal lighting and viewpoint. The process often requires advanced knowledge in photography and an elaborate studio setup. In t…
Thermal to Visible Image Synthesis under Atmospheric Turbulence
Kangfu Mei, Yiqun Mei, Vishal M. Patel
In many practical applications of long-range imaging such as biometrics and surveillance, thermal imagining modalities are often used to capture images in low-light and nighttime c…
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer
Pengfei Guo, Yiqun Mei, Jinyuan Zhou +2
Accelerating magnetic resonance image (MRI) reconstruction process is a challenging ill-posed inverse problem due to the excessive under-sampling operation in k-space. In this pape…
Neural Sparse Representation for Image Restoration
Yuchen Fan, Jiahui Yu, Yiqun Mei +4
Inspired by the robustness and efficiency of sparse representation in sparse coding based image restoration models, we investigate the sparsity of neurons in deep networks. Our met…
Pyramid Attention Networks for Image Restoration
Yiqun Mei, Yuchen Fan, Yulun Zhang +6
Self-similarity refers to the image prior widely used in image restoration algorithms that small but similar patterns tend to occur at different locations and scales. However, rece…