Papers Video Reconstruction
“Video Reconstruction” 태그가 달린 논문 204편 · 필터 해제
ATGS: Anchored Temporal Gaussian Splatting for Long Volumetric Video Representation
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 temporal instability and visual artifacts.…
Video ReconstructionLossy Event Compression: From Event Stream Distortion to Task Performance
Event cameras generate asynchronous, sparse data streams with microsecond temporal resolution, but in moderate-to-high motion scenes they can produce as many as hundreds of millions of events per second, creating signifi…
Optical Flow EstimationVideo ReconstructionObject DetectionEditaLive! Unified Character Video Editing for Live Streaming
Conventional video editing primarily focuses on scene-level content, whereas live streaming places greater emphasis on the human subject. However, directly applying existing video-editing methods to human-centric live st…
Video ReconstructionS$^2$GS: Structured Sparse Gaussian Streaming for Efficient Free-Viewpoint Video Reconstruction on Edge-IoT Devices
Streaming reconstruction of Free-Viewpoint Videos (FVVs) supports immersive Internet of Things (IoT) services, such as telepresence and digital twin visualization. Existing methods suffer from high per-frame optimization…
Video ReconstructionV-RAE: Rethinking Video Latent Spaces for Generation
Latent video generation relies on autoencoders to define a compact space in which generative models operate. Although video autoencoder architectures have evolved substantially, their latent spaces are still optimized pr…
Video ReconstructionVideo GenerationVideo PredictionAVA-Encoder: Towards Agent-Native Video Representation Learning
Creative agents still lack an effective way to learn from high-quality human films, limiting their ability to produce cinematic-grade videos. A key challenge is the absence of a structured video representation that is bo…
Representation LearningVideo ReconstructionEngram-E2VID: Reference-Based Event-to-Video Reconstruction via Generative Activation of Appearance Engrams
Reference-based event-to-video reconstruction aims to recover target RGB frames from a reference frame and the event stream captured over the reference-to-target interval. Although events provide fine-grained temporal cu…
Video ReconstructionRefCaptioner: Multi-Reference Image-Grounded Video Captioning
Existing video captioning models generate natural descriptions of video content but cannot explicitly ground local visual elements to multiple reference images. We introduce multi-reference image-grounded video captionin…
Video ReconstructionVideo CaptioningABot-3DWorld 0: A Universal World Model to Explore Any 3D Space
We present ABot-3DWorld 0, a universal multimodal 3D world model that turns text, image, and video inputs into high-fidelity, explorable 3D worlds. At the heart of our framework is a unified Spatial Generative Primitive …
Video ReconstructionAVTok: 1D Unified Tokenization for Holistic Audio-Video Generation
Audio-video generation has recently gained unprecedented research attention, aiming to synthesize high-quality sounding video content with fine-grained synchronization and semantic alignment between the auditory and visu…
Video ReconstructionVideo GenerationShell-Supervised Gaussian Splatting for Urban Real-to-Sim Reconstruction
Real-to-sim reconstruction for embodied AI requires geometry that is useful for collision reasoning, navigation, and agent-environment interaction, not only photorealistic novel-view synthesis. However, close-range urban…
Video Reconstruction3D ReconstructionHiReFF: High-Resolution Feedforward Human Reconstruction from Uncalibrated Sparse-View Video
Uncalibrated volumetric video streaming for human reconstruction is essential for holographic communication and AR/VR, yet remains challenging due to the need for temporal consistency and computational efficiency from sp…
Computational EfficiencyVideo ReconstructionZeroGVC: Zero-Shot Generative Video Compression with Autoregressive Diffusion Priors
Recent generative video compression methods leverage powerful generative priors to achieve perceptually pleasing reconstructions. However, most existing approaches require additional training to adapt generative models t…
Video ReconstructionReConFuse: Reconstruction-Error Guided Semantic Fusion for AI-Generated Video Detection
AI-generated videos are becoming increasingly realistic, raising serious concerns about misinformation, content authenticity, and media trust. Reliable AI-generated video detection is therefore essential for multimedia f…
Video ReconstructionEvent-to-Video Reconstruction using Spatio-Temporal and Frequency-Enhanced Deep Neural Networks
Event cameras offer significant advantages over conventional frame-based counterparts, including high temporal resolution, low latency, and energy efficiency. These characteristics make them suitable for high-speed and h…
Video ReconstructionScene UnderstandingMoment-Reenacting: Inverse Motion Degradation with Cross-shutter Guidance
Motion degradation, manifested as blur in global shutter (GS) images or rolling shutter (RS) distortion in RS counterparts, remains a fundamental challenge in computational imaging, especially under fast motion or low-li…
Video ReconstructionBridging Brain and Semantics: A Hierarchical Framework for Semantically Enhanced fMRI-to-Video Reconstruction
Reconstructing dynamic visual experiences as videos from functional magnetic resonance imaging (fMRI) is pivotal for advancing the understanding of neural processes. However, current fMRI-to-video reconstruction methods …
Video ReconstructionVideo Reconstruction using Diffusion-based Image-to-Video Generation with Trajectory Guidance
This paper addresses the problem of reconstructing missing or dropped frames in top-down drone video of autonomous surface vehicles performing structured maritime manoeuvres. We propose a pipeline that converts raw GPS t…
Video ReconstructionVideo GenerationPolarVSR: A Unified Framework and Benchmark for Continuous Space-Time Polarization Video Reconstruction
Polarimetric imaging captures surface polarization characteristics, such as the Degree of Linear Polarization (DoLP) and the Angle of Polarization (AoP). In mainstream Division of-Focal-Plane (DoFP) color polarization im…
Video ReconstructionSoLAR: Error-Resilient Streamable Long-Horizon Free-Viewpoint Video Reconstruction with Anchor Activation and Latent Recalibration
Free-Viewpoint Video (FVV) has emerged as a cornerstone of next-generation immersive media systems and attracted widespread attention. Previous methods primarily focus on short video sequences and suffer from significant…
Video Reconstruction