373 citations · 1.3k across the 66 of their papers we have counts for
69 papers
ArticuTable: Generating Instance-Level Interactive Rigid-Articulated 3D Tabletop Scenes from a Single Image
Kai Lv, Yibo Yin, Lijun Guo +3
Embodied agents benefit from 3D environments that combine visual fidelity to real-world observations with physical interactivity. Existing single-image tabletop reconstruction meth…
DocPure: Prompt-Free Unified Document Restoration via Degradation-Aware Structure-Guided Wavelet Modulation
Lingming Su, Wanglong Lu, Tao Wang +4
High-quality document images are pivotal for information archiving and downstream automatic processing. However, they are frequently compromised by diverse degradations during unco…
Vorch-Human: Unified Multi-Task Human-Centric Generation via Long-Horizon Continuation
Yang Ding, Haoran Yu, Xin Ma +8
Human-centric audio-visual generation spans several closely related tasks: animating a person from driving speech, jointly generating speech and video from a voice reference, and s…
EchoSR: Efficient Context Harnessing for Lightweight Image Super-Resolution
Hanli Zhao, Binhao Wang, Shihao Zhao +3
Image super-resolution (SR) aims to reconstruct high-quality, high-resolution (HR) images from low-resolution (LR) inputs and plays a critical role in various downstream applicatio…
ResiHMR: Residual-Limb Aware Single-Image 3D Human Mesh Recovery for Individuals with Limb Loss
Jiaying Ying, Heming Du, Kaihao Zhang +2
Single-image human mesh recovery provides a compact 3D, person-centric representation that supports analysis, animation, AR and VR, rehabilitation, and human-computer interaction.…
Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling
Gongye Liu, Bo Yang, Yida Zhi +8
Preference optimization for diffusion and flow-matching models relies on reward functions that are both discriminatively robust and computationally efficient. Vision-Language Model…
Fourier-RWKV: A Multi-State Perception Network for Efficient Image Dehazing
Lirong Zheng, Yanshan Li, Rui Yu +1
Image dehazing is crucial for reliable visual perception, yet it remains highly challenging under real-world non-uniform haze conditions. Although Transformer-based methods excel a…
MRD: Multi-resolution Retrieval-Detection Fusion for High-Resolution Image Understanding
Fan Yang, Xingping Dong, Xin Yu +3
Understanding high-resolution (HR) images remains a critical challenge for multimodal large language models (MLLMs). Recent approaches leverage vision-based retrieval-augmented gen…
FingerCap: Fine-grained Finger-level Hand Motion Captioning
Xin Shen, Rui Zhu, Lei Shen +10
Understanding fine-grained human hand motion is fundamental to visual perception, embodied intelligence, and multimodal communication. In this work, we propose Fine-grained Finger-…
APD-Agents: A Large Language Model-Driven Multi-Agents Collaborative Framework for Automated Page Design
Xinpeng Chen, Xiaofeng Han, Kaihao Zhang +6
Layout design is a crucial step in developing mobile app pages. However, crafting satisfactory designs is time-intensive for designers: they need to consider which controls and con…
UHDRes: Ultra-High-Definition Image Restoration via Dual-Domain Decoupled Spectral Modulation
S. Zhao, W. Lu, B. Wang +3
Ultra-high-definition (UHD) images often suffer from severe degradations such as blur, haze, rain, or low-light conditions, which pose significant challenges for image restoration…
CorrMoE: Mixture of Experts with De-stylization Learning for Cross-Scene and Cross-Domain Correspondence Pruning
Peiwen Xia, Tangfei Liao, Wei Zhu +5
Establishing reliable correspondences between image pairs is a fundamental task in computer vision, underpinning applications such as 3D reconstruction and visual localization. Alt…
Efficient Dual-domain Image Dehazing with Haze Prior Perception
Lirong Zheng, Yanshan Li, Rui Yu +1
Transformers offer strong global modeling for single-image dehazing but come with high computational costs. Most methods rely on spatial features to capture long-range dependencies…
DAM-VSR: Disentanglement of Appearance and Motion for Video Super-Resolution
Zhe Kong, Le Li, Yong Zhang +8
Real-world video super-resolution (VSR) presents significant challenges due to complex and unpredictable degradations. Although some recent methods utilize image diffusion models f…
Visual and Textual Prompts in VLLMs for Enhancing Emotion Recognition
Zhifeng Wang, Qixuan Zhang, Peter Zhang +5
Vision Large Language Models (VLLMs) exhibit promising potential for multi-modal understanding, yet their application to video-based emotion recognition remains limited by insuffic…
MaterialMVP: Illumination-Invariant Material Generation via Multi-view PBR Diffusion
Zebin He, Mingxin Yang, Shuhui Yang +8
Physically-based rendering (PBR) has become a cornerstone in modern computer graphics, enabling realistic material representation and lighting interactions in 3D scenes. In this pa…
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models
Jiaqi Zhao, Miao Zhang, Ming Wang +5
Large Language Models (LLMs) suffer severe performance degradation when facing extremely low-bit (sub 2-bit) quantization. Several existing sub 2-bit post-training quantization (PT…
MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image Restoration
Zhi Jin, Yuwei Qiu, Kaihao Zhang +2
Recently, Transformer networks have demonstrated outstanding performance in the field of image restoration due to the global receptive field and adaptability to input. However, the…
Visual Style Prompt Learning Using Diffusion Models for Blind Face Restoration
Wanglong Lu, Jikai Wang, Tao Wang +3
Blind face restoration aims to recover high-quality facial images from various unidentified sources of degradation, posing significant challenges due to the minimal information ret…
All-in-one Weather-degraded Image Restoration via Adaptive Degradation-aware Self-prompting Model
Yuanbo Wen, Tao Gao, Ziqi Li +3
Existing approaches for all-in-one weather-degraded image restoration suffer from inefficiencies in leveraging degradation-aware priors, resulting in sub-optimal performance in ada…
LLDif: Diffusion Models for Low-light Emotion Recognition
Zhifeng Wang, Kaihao Zhang, Ramesh Sankaranarayana
This paper introduces LLDif, a novel diffusion-based facial expression recognition (FER) framework tailored for extremely low-light (LL) environments. Images captured under such co…
Towards Multiple Character Image Animation Through Enhancing Implicit Decoupling
Jingyun Xue, Hongfa Wang, Qi Tian +10
Controllable character image animation has a wide range of applications. Although existing studies have consistently improved performance, challenges persist in the field of charac…
Authentic Emotion Mapping: Benchmarking Facial Expressions in Real News
Qixuan Zhang, Zhifeng Wang, Yang Liu +4
In this paper, we present a novel benchmark for Emotion Recognition using facial landmarks extracted from realistic news videos. Traditional methods relying on RGB images are resou…
Homography Guided Temporal Fusion for Road Line and Marking Segmentation
Shan Wang, Chuong Nguyen, Jiawei Liu +6
Reliable segmentation of road lines and markings is critical to autonomous driving. Our work is motivated by the observations that road lines and markings are (1) frequently occlud…