activity
20202026
most citedNTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results

9 citations · 13 across the 15 of their papers we have counts for

collaborators

16 papers

cs.CV2026

ATGS: Anchored Temporal Gaussian Splatting for Long Volumetric Video Representation

Jiahao Wu, Jie Liang, Die Hu +6

Volumetric video enables immersive free viewpoint rendering of dynamic real world scenes, yet existing methods struggle with long sequences and complex motions, often leading to te…

cs.CV2026

ClipGStream: Clip-Stream Gaussian Splatting for Any Length and Any Motion Multi-View Dynamic Scene Reconstruction

Jie Liang, Jiahao Wu, Chao Wang +7

Dynamic 3D scene reconstruction is essential for immersive media such as VR, MR, and XR, yet remains challenging for long multi-view sequences with large-scale motion. Existing dyn…

cs.CV2026

Intrinsic Geometry-Appearance Consistency Optimization for Sparse-View Gaussian Splatting

Kaiqiang Xiong, Rui Peng, Jiahao Wu +5

3D human reconstruction from a single image is a challenging problem and has been exclusively studied in the literature. Recently, some methods have resorted to diffusion models fo…

cs.CV2026

PEAR: Pixel-aligned Expressive humAn mesh Recovery

Jiahao Wu, Yunfei Liu, Lijian Lin +4

Reconstructing detailed 3D human meshes from a single in-the-wild image remains a fundamental challenge in computer vision. Existing SMPLX-based methods often suffer from slow infe…

cs.CV2026

MANGO:Natural Multi-speaker 3D Talking Head Generation via 2D-Lifted Enhancement

Lei Zhu, Lijian Lin, Ye Zhu +5

Current audio-driven 3D head generation methods mainly focus on single-speaker scenarios, lacking natural, bidirectional listen-and-speak interaction. Achieving seamless conversati…

cs.CV2025

NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results

Xiaoning Liu, Zongwei Wu, Florin-Alexandru Vasluianu +102

This paper presents a comprehensive review of the NTIRE 2025 Low-Light Image Enhancement (LLIE) Challenge, highlighting the proposed solutions and final outcomes. The objective of…

cs.SD2025

MelTok: 2D Tokenization for Single-Codebook Audio Compression

Jingyi Li, Zhiyuan Zhao, Zhisheng Zhang +6

Large Audio Language Models (LALMs) have emerged with strong performance across diverse audio understanding tasks and can be further enhanced by neural audio codecs. Transitioning…

cs.CV2025

LocalDyGS: Multi-view Global Dynamic Scene Modeling via Adaptive Local Implicit Feature Decoupling

Jiahao Wu, Rui Peng, Jianbo Jiao +7

Due to the complex and highly dynamic motions in the real world, synthesizing dynamic videos from multi-view inputs for arbitrary viewpoints is challenging. Previous works based on…

cs.CV2025★ 1 cited

Instant Gaussian Stream: Fast and Generalizable Streaming of Dynamic Scene Reconstruction via Gaussian Splatting

Jinbo Yan, Rui Peng, Zhiyan Wang +5

Building Free-Viewpoint Videos in a streaming manner offers the advantage of rapid responsiveness compared to offline training methods, greatly enhancing user experience. However,…

cs.CV2025

Swift4D:Adaptive divide-and-conquer Gaussian Splatting for compact and efficient reconstruction of dynamic scene

Jiahao Wu, Rui Peng, Zhiyan Wang +5

Novel view synthesis has long been a practical but challenging task, although the introduction of numerous methods to solve this problem, even combining advanced representations li…

cs.CV2024

HDRGS: High Dynamic Range Gaussian Splatting

Jiahao Wu, Lu Xiao, Rui Peng +2

Recent years have witnessed substantial advancements in the field of 3D reconstruction from 2D images, particularly following the introduction of the neural radiance field (NeRF) t…

cs.CV2024

Domain-adaptive Video Deblurring via Test-time Blurring

Jin-Ting He, Fu-Jen Tsai, Jia-Hao Wu +4

Dynamic scene video deblurring aims to remove undesirable blurry artifacts captured during the exposure process. Although previous video deblurring methods have achieved impressive…

cs.CV2023★ 1 cited

ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation

Jia-Hao Wu, Fu-Jen Tsai, Yan-Tsung Peng +3

Image deblurring aims to remove undesired blurs from an image captured in a dynamic scene. Much research has been dedicated to improving deblurring performance through model archit…

cs.CV2021★ 1 cited

LGA-RCNN: Loss-Guided Attention for Object Detection

Xin Yi, Jiahao Wu, Bo Ma +2

Object detection is widely studied in computer vision filed. In recent years, certain representative deep learning based detection methods along with solid benchmarks are proposed,…

cs.CV2021★ 1 cited

Two-Step Image Dehazing with Intra-domain and Inter-domain Adaptation

Xin Yi, Bo Ma, Yulin Zhang +2

Caused by the difference of data distributions, intra-domain gap and inter-domain gap are widely present in image processing tasks. In the field of image dehazing, certain previous…

eess.IV2020★ 9 cited

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results

Kai Zhang, Shuhang Gu, Radu Timofte +60

This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to super-resolve an input im…