Papers Video Restoration
“Video Restoration” 태그가 달린 논문 142편 · 필터 해제
Bi-FlowGS: Bridging Generative View Completion and Gaussian Geometry through Bidirectional Flow Co-Refinement
Sparse-view 3D scene reconstruction with 3D Gaussian Splatting (3DGS) is inherently underconstrained. Plausible renderings can also coexist with erroneous Gaussian geometry, as errors in positions or depths may be concea…
Video RestorationLynnReal-Omni: Native multi-modal Video Generation for Agentic Visual Workflows
Video diffusion models are stochastic and hard to control: precise content often requires repeated sampling without guaranteed success, and long-horizon scenes drift in appearance, interactions, and temporal coherence. A…
Instruction FollowingVideo RestorationVideo GenerationBinarized High-Efficiency RAW Video Restoration and Beyond
RAW video restoration is fundamental to high-quality low-level perception and serves as the basis for a wide range of downstream vision applications. While binary neural networks (BNNs) enable efficient lightweight deplo…
Monocular Depth EstimationVideo RestorationImage EnhancementObject DetectionDART: A Degradation-Aware Recurrent Transformer for Archival Film Restoration
Archival film restoration is a challenging problem because historical footage contains compound degradations such as scratches, dust, blur, noise, flicker, and photometric aging, while clean reference videos are unavaila…
Video RestorationSATB-VR: Training Few-Step Video Restoration Diffusion Model using SNR-Aware Trajectory Blending
While diffusion models excel in video restoration, their reliance on extensive iterative steps limits efficiency. Conversely, aggressive single-step distillation often compromises fine texture recovery. To achieve an opt…
Video RestorationTIGER: Taming Identity, Geometry, and Generative Priors for High-Quality Face Video Restoration
Face Video Restoration (FVR) aims to recover high-fidelity facial videos from degraded input while preserving identity and semantic consistency across frames. Existing methods often struggle to simultaneously address thr…
Video RestorationVideo GenerationGaussian Process Prior Variational Autoencoder for Endoscopic Videos
Endoscopic video analysis is essential for gastrointestinal diagnosis and computer-assisted interventions, but video sequences are routinely degraded by specular reflections, motion artifacts, and missing frames. These t…
Image Reconstruction3D ReconstructionVideo RestorationVisual OdometryRGFVR: Reference-Guided Face Video Restoration with Flow Matching
Face video restoration from degraded observations is challenging, as it requires simultaneously recovering visual fidelity, temporal consistency, and subject identity. Existing approaches are often either reference-free,…
Video RestorationSwiftVR: Real-Time One-Step Generative Video Restoration
Real-time video restoration (VR) for live streams requires high-resolution outputs under strict per-frame latency constraints. Existing one-step diffusion-based VR models remain difficult to deploy on consumer-grade GPUs…
Video RestorationAccelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models
Diffusion models provide powerful priors for zero-shot video inverse problems, but their real-time deployment is hindered by two inefficiencies: high initial latency caused by holistic video restoration, and low throughp…
Video RestorationVDFP: Video Deflickering with Flicker-banding Priors
Capturing digital screens with smartphones frequently induces severe banding due to hardware synchronization mismatches. Existing video restoration methods struggle with these structured, periodic luminance fluctuations,…
Video RestorationNTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models: Datasets, Methods and Results
This paper presents an overview of the NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models. This challenge utilizes a new short-form UGC (S-UGC) video restoration benchmark, termed…
Video RestorationLoViF 2026 The First Challenge on Weather Removal in Videos
This paper presents a review of the LoViF 2026 Challenge on Weather Removal in Videos. The challenge encourages the development of methods for restoring clean videos from inputs degraded by adverse weather conditions suc…
Video RestorationNTIRE 2026 Challenge on Bitstream-Corrupted Video Restoration: Methods and Results
This paper reports on the NTIRE 2026 Challenge on Bitstream-Corrupted Video Restoration (BSCVR). The challenge aims to advance research on recovering visually coherent videos from corrupted bitstreams, whose decoding oft…
Video RestorationFrom Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery
Rapid and accurate structural damage assessment following natural disasters is critical for effective emergency response and recovery. However, remote sensing imagery often suffers from low spatial resolution, contextual…
Building Damage AssessmentVideo RestorationObject DetectionDecision MakingVQ-Jarvis: Retrieval-Augmented Video Restoration Agent with Sharp Vision and Fast Thought
Video restoration in real-world scenarios is challenged by heterogeneous degradations, where static architectures and fixed inference pipelines often fail to generalize. Recent agent-based approaches offer dynamic decisi…
Video RestorationDecision MakingImproving Image-to-Image Translation via a Rectified Flow Reformulation
In this work, we propose Image-to-Image Rectified Flow Reformulation (I2I-RFR), a practical plug-in reformulation that recasts standard I2I regression networks as continuous-time transport models. While pixel-wise I2I re…
Image-to-Image TranslationVideo RestorationSAMA: Factorized Semantic Anchoring and Motion Alignment for Instruction-Guided Video Editing
Current instruction-guided video editing models struggle to simultaneously balance precise semantic modifications with faithful motion preservation. While existing approaches rely on injecting explicit external priors (e…
Video RestorationD$^2$-VR: Degradation-Robust and Distilled Video Restoration with Synergistic Optimization Strategy
The integration of diffusion priors with temporal alignment has emerged as a transformative paradigm for video restoration, delivering fantastic perceptual quality, yet the practical deployment of such frameworks is seve…
Video RestorationZero-Shot Video Restoration and Enhancement with Assistance of Video Diffusion Models
Although diffusion-based zero-shot image restoration and enhancement methods have achieved great success, applying them to video restoration or enhancement will lead to severe temporal flickering. In this paper, we propo…
Video RestorationImage Restoration