Video Reconstruction
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Benchmarks
UVG
Event-Camera Dataset
MVSEC
MGif
TED-talks
Tai-Chi-HD (256)
Tai-Chi-HD (512)
VoxCeleb
Tai-Chi-HD
Most implemented
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
RefCaptioner: Multi-Reference Image-Grounded Video Captioning
S$^2$GS: Structured Sparse Gaussian Streaming for Efficient Free-Viewpoint Video Reconstruction on Edge-IoT Devices
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model
NeRV: Neural Representations for Videos
First Order Motion Model for Image Animation
Papers
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 Reconstruction