Papers Video Enhancement
“Video Enhancement” 태그가 달린 논문 126편 · 필터 해제
Diff-VF: Training-free High-quality Long Video Generation via Diffusion Model
Recently, diffusion models have made great progress in video generation. However, most existing video diffusion models are trained with short videos, and degrade when extrapolated to long videos, struggling to maintain l…
Video EnhancementVideo GenerationDiffCVE: Diffusion-based Compressed Video Enhancement
Perceptual quality enhancement of severely compressed videos remains challenging due to complex artifact patterns and substantial information loss. Recent diffusion models have demonstrated strong generative capability f…
Video EnhancementEeveeDark: A Binary Neural Framework for Low-Light Video Enhancement via Event-Guided Sensor-Level Fusion
Enhancing videos under extreme low-light conditions remains challenging due to the difficulty of balancing restoration quality and computational efficiency in resource-constrained settings. This paper introduces EeveeDar…
Computational EfficiencyVideo EnhancementAnyMod-LLVE: Low-Light Video Enhancement with Modality-Agnostic Inference
Low-light video enhancement (LLVE) remains a challenging task due to severe information degradation under low-illumination conditions. Recent multimodal approaches have significantly improved enhancement performance by i…
Video EnhancementBVI-Mamba: Video Enhancement Using a Visual State-Space Model for Low-Light and Underwater Environments
Videos captured in low-light and underwater conditions often suffer from distortions such as noise, low contrast, color imbalance, and blur. These issues not only limit visibility but also degrade automatic tasks like de…
Video EnhancementChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation
Recent video diffusion models achieve high-quality generation through recurrent frame processing where each frame generation depends on previous frames. However, this recurrent mechanism means that training such models i…
Video Super-ResolutionVideo EnhancementVideo GenerationVideo InpaintingLow-Light Video Enhancement with An Effective Spatial-Temporal Decomposition Paradigm
Low-Light Video Enhancement (LLVE) seeks to restore dynamic or static scenes plagued by severe invisibility and noise. In this paper, we present an innovative video decomposition strategy that incorporates view-independe…
Video EnhancementRow-Column Separated Attention Based Low-Light Image/Video Enhancement
U-Net structure is widely used for low-light image/video enhancement. The enhanced images result in areas with large local noise and loss of more details without proper guidance for global information. Attention mechanis…
Video EnhancementRRNet: Configurable Real-Time Video Enhancement with Arbitrary Local Lighting Variations
With the growing demand for real-time video enhancement in live applications, existing methods often struggle to balance speed and effective exposure control, particularly under uneven lighting. We introduce RRNet (Rende…
Video EnhancementDGGAN: Degradation Guided Generative Adversarial Network for Real-time Endoscopic Video Enhancement
Endoscopic surgery relies on intraoperative video, making image quality a decisive factor for surgical safety and efficacy. Yet, endoscopic videos are often degraded by uneven illumination, tissue scattering, occlusions,…
Contrastive LearningImage EnhancementVideo EnhancementCompEvent: Complex-valued Event-RGB Fusion for Low-light Video Enhancement and Deblurring
Low-light video deblurring poses significant challenges in applications like nighttime surveillance and autonomous driving due to dim lighting and long exposures. While event cameras offer potential solutions with superi…
Autonomous DrivingVideo EnhancementMiVID: Multi-Strategic Self-Supervision for Video Frame Interpolation using Diffusion Model
Video Frame Interpolation (VFI) remains a cornerstone in video enhancement, enabling temporal upscaling for tasks like slow-motion rendering, frame rate conversion, and video restoration. While classical methods rely on …
Video Frame InterpolationVideo RestorationVideo EnhancementDynamic Weight-based Temporal Aggregation for Low-light Video Enhancement Under Extreme Noise
Low-light video enhancement (LLVE) is challenging due to noise, low contrast, and color degradation. While learning-based methods enable fast inference, they often fail under heavy real-world noise because they do not su…
Video EnhancementAn Efficient Quality Metric for Video Frame Interpolation Based on Motion-Field Divergence
Video frame interpolation is a fundamental tool for temporal video enhancement, but existing quality metrics struggle to evaluate the perceptual impact of interpolation artefacts effectively. Metrics like PSNR, SSIM and …
Video Frame InterpolationVideo EnhancementEvent Camera Guided Visual Media Restoration & 3D Reconstruction: A Survey
Event camera sensors are bio-inspired sensors which asynchronously capture per-pixel brightness changes and output a stream of events encoding the polarity, location and time of these changes. These systems are witnessin…
3D ReconstructionVideo RestorationVideo EnhancementRegion-Adaptive Video Sharpening via Rate-Perception Optimization
Sharpening is a widely adopted video enhancement technique. However, uniform sharpening intensity ignores texture variations, degrading video quality. Sharpening also increases bitrate, and there's a lack of techniques t…
Video EnhancementPMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement
Multi-frame video enhancement tasks aim to improve the spatial and temporal resolution and quality of video sequences by leveraging temporal information from multiple frames, which are widely used in streaming video proc…
QuantizationVideo EnhancementSuper-Resolution Generative Adversarial Networks based Video Enhancement
This study introduces an enhanced approach to video super-resolution by extending ordinary Single-Image Super-Resolution (SISR) Super-Resolution Generative Adversarial Network (SRGAN) structure to handle spatio-temporal …
Generative Adversarial NetworkImage EnhancementImage Super-ResolutionSuper-Resolution+2NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results
This paper presents an overview of the NTIRE 2025 Challenge on UGC Video Enhancement. The challenge constructed a set of 150 user-generated content videos without reference ground truth, which suffer from real-world degr…
Video EnhancementFrom Events to Enhancement: A Survey on Event-Based Imaging Technologies
Event cameras offering high dynamic range and low latency have emerged as disruptive technologies in imaging. Despite growing research on leveraging these benefits for different imaging tasks, a comprehensive study of re…
Video Enhancement