Papers Video Super-Resolution
“Video Super-Resolution” 태그가 달린 논문 332편 · 필터 해제
A Multi-Layer System for Ultra-High-Resolution Static 360-Degree Telepresence
360-degree video telepresence offers strong immersive potential but remains constrained by the limited resolution of current capture and display hardware. Many telepresence installations feature fixed viewpoints and larg…
Video Super-ResolutionNanoVSR: Towards Real-Time Video Super-Resolution on Edge Devices
Recent Video Super-Resolution (VSR) methods rely heavily on transformers and explicit optical flow, creating computational overhead and custom operations that hinder deployment on hardware accelerators like TensorRT. To …
Computational EfficiencyVideo Super-ResolutionAVSR-Diff: Scale-Agnostic Diffusion Priors for Temporally Consistent Arbitrary-Scale Video Super-Resolution
Diffusion models have significantly advanced video super-resolution (VSR) but remain largely constrained to fixed upsampling scales. Conversely, while coordinate-based arbitrary-scale VSR methods offer scale flexibility,…
Video Super-ResolutionDTI: Dynamic Trajectory Initialization for Generative Face Video Super-Resolution
As the most perceptually powerful Face Video Super-Resolution (FVSR) method, existing works in Generative FVSR (GFVSR) mainly exploit the generative prior of pretrained diffusion models. However, viewed as full generatio…
Video Super-ResolutionEvTexture++: Event-Driven Texture Enhancement for Video Super-Resolution
Event-based vision has drawn increasing attention owing to its distinctive properties, including ultra-high temporal resolution and extreme dynamic range. Recent works have introduced it to video super-resolution (VSR) t…
Video Super-ResolutionEvent-based visionLiteVSR: Lightweight Adaptation of Frozen Diffusion Transformers for Video Super-Resolution
Adapting large-scale pre-trained video generators for Video Super-Resolution (VSR) in novel domains remains computationally prohibitive. Methods that reformulate generation as direct Low-Quality to High-Quality mappings …
Video Super-ResolutionDTG-Restore: Training-Free Diffusion Refinement for Generative Video Super-Resolution
Recent progress in video diffusion models has enabled remarkable generative fidelity, yet leveraging these priors for restoration remains limited by the strong coupling between conditional and unconditional branches in s…
Video Super-ResolutionHow Accurate are Video Quality Models for Diffusion-Based Video Super-Resolution?
Recent video super-resolution (VSR) approaches use deep neural networks to enhance low-quality input videos and recover visual detail, with diffusion-based methods in particular showing promising results. In this paper, …
Video Super-ResolutionSwiftI2V: Efficient High-Resolution Image-to-Video Generation via Conditional Segment-wise Generation
High-resolution image-to-video (I2V) generation aims to synthesize realistic temporal dynamics while preserving fine-grained appearance details of the input image. At 2K resolution, it becomes extremely challenging, and …
Video Super-ResolutionVideo GenerationBurstGP: Enhancing Raw Burst Image Super Resolution with Generative Priors
Burst image super resolution (BISR) aims to construct a single high-resolution (HR) image by aggregating information from multiple low-resolution (LR) frames, relying on temporal redundancy and spatial coherence across t…
Video Super-ResolutionA Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models
Deep-learning video super-resolution has progressed rapidly, but climate applications typically super-resolve (increase resolution) either space or time, and joint spatiotemporal models are often designed for a single pa…
Video Super-ResolutionGS-STVSR: Ultra-Efficient Continuous Spatio-Temporal Video Super-Resolution via 2D Gaussian Splatting
Continuous Spatio-Temporal Video Super-Resolution (C-STVSR) aims to simultaneously enhance the spatial resolution and frame rate of videos by arbitrary scale factors, offering greater flexibility than fixed-scale methods…
Video Super-ResolutionRein3D: Reinforced 3D Indoor Scene Generation with Panoramic Video Diffusion Models
The growing demand for Embodied AI and VR applications has highlighted the need for synthesizing high-quality 3D indoor scenes from sparse inputs. However, existing approaches struggle to infer massive amounts of missing…
Video Super-ResolutionScene GenerationInstaVSR: Taming Diffusion for Efficient and Temporally Consistent Video Super-Resolution
Video super-resolution (VSR) seeks to reconstruct high-resolution frames from low-resolution inputs. While diffusion-based methods have substantially improved perceptual quality, extending them to video remains challengi…
Video Super-ResolutionScrollScape: Unlocking 32K Image Generation With Video Diffusion Priors
While diffusion models excel at generating images with conventional dimensions, pushing them to synthesize ultra-high-resolution imagery at extreme aspect ratios (EAR) often triggers catastrophic structural failures, suc…
Video Super-ResolutionVideo GenerationImage GenerationDUO-VSR: Dual-Stream Distillation for One-Step Video Super-Resolution
Diffusion-based video super-resolution (VSR) has recently achieved remarkable fidelity but still suffers from prohibitive sampling costs. While distribution matching distillation (DMD) can accelerate diffusion models tow…
Video Super-ResolutionChopGrad: 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 InpaintingSparkVSR: Interactive Video Super-Resolution via Sparse Keyframe Propagation
Video Super-Resolution (VSR) aims to restore high-quality video frames from low-resolution (LR) estimates, yet most existing VSR approaches behave like black boxes at inference time: users cannot reliably correct unexpec…
Image Super-ResolutionVideo Super-ResolutionStyle TransferTextOVSR: Text-Guided Real-World Opera Video Super-Resolution
Many classic opera videos exhibit poor visual quality due to the limitations of early filming equipment and long-term degradation during storage. Although real-world video super-resolution (RWVSR) has achieved significan…
Video Super-ResolutionCompressed-Domain-Aware Online Video Super-Resolution
In bandwidth-limited online video streaming, videos are usually downsampled and compressed. Although recent online video super-resolution (online VSR) approaches achieve promising results, they are still compute-intensiv…
Video Super-Resolution