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ARXIV:2603.15302 · GENERATIVE VIDEO COMPRESSION · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE
ARXIV:2603.15302GENERATIVE VIDEO COMPRESSIONSUBMITTED 02 APR · 02:30 UTCFRESHNESS STALEarXiv
GVC1D revolutionizes video compression by using a compact one-dimensional latent representation to enhance efficiency and reduce bitrate significantly.
Opportunity summary
Pain GVC1D revolutionizes video compression by using a compact one-dimensional latent representation to enhance efficiency and reduce bitrate significantly.
Evidence 0 refs | 0 sources | 17% coverage
Blocker Evidence unverified
GVC1D revolutionizes video compression by using a compact one-dimensional latent representation to enhance efficiency and reduce bitrate significantly. However, this paradigm still leaves two key challenges in fully exploiting spatial-temporal redundancy: Spatially, the 2D…
Recent advancements in generative video codec (GVC) typically encode video into a 2D latent grid and employ high-capacity generative decoders for reconstruction. However, this paradigm still leaves two key challenges in fully exploiting spatial-temporal…
ScienceToStartup currently rates this 8.0/10 on the public viability pass. Experimental results indicate that GVC1D attains superior compression efficiency, where it achieves bitrate reductions of 60.4\% under LPIPS and 68.8\% under DISTS on the…
Generative Video Compression moved forward this cycle; last verified April 2026. Public score 8.0/10.
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GVC1D revolutionizes video compression by using a compact one-dimensional latent representation to enhance efficiency and reduce bitrate significantly.
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10.48550/arXiv.2603.15302GVC1D revolutionizes video compression by using a compact one-dimensional latent representation to enhance efficiency and reduce bitrate significantly.
Abstract
Recent advancements in generative video codec (GVC) typically encode video into a 2D latent grid and employ high-capacity generative decoders for reconstruction. However, this paradigm still leaves two key challenges in fully exploiting spatial-temporal redundancy: Spatially, the 2D latent grid inevitably preserves intra-frame redundancy due to its rigid structure, where adjacent patches remain highly similar, thereby necessitating a higher bitrate. Temporally, the 2D latent grid is less effective for modeling long-term correlations in a compact and semantically coherent manner, as it hinders the aggregation of common contents across frames. To address these limitations, we introduce Generative Video Compression with One-Dimensional (1D) Latent Representation (GVC1D). GVC1D encodes the video data into extreme compact 1D latent tokens conditioned on both short- and long-term contexts. Without the rigid 2D spatial correspondence, these 1D latent tokens can adaptively attend to semantic regions and naturally facilitate token reduction, thereby reducing spatial redundancy. Furthermore, the proposed 1D memory provides semantically rich long-term context while maintaining low computational cost, thereby further reducing temporal redundancy. Experimental results indicate that GVC1D attains superior compression efficiency, where it achieves bitrate reductions of 60.4\% under LPIPS and 68.8\% under DISTS on the HEVC Class B dataset, surpassing the previous video compression methods.Project: https://gvc1d.github.io/
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Dimensions overall score 8.0
PROBLEM
GVC1D revolutionizes video compression by using a compact one-dimensional latent representation to enhance efficiency and reduce bitrate significantly. However, this paradigm still leaves two key challenges in fully exploiting spatial-temporal redundancy: Spatially, the 2D laten...
METHOD
Recent advancements in generative video codec (GVC) typically encode video into a 2D latent grid and employ high-capacity generative decoders for reconstruction. However, this paradigm still leaves two key challenges in fully exploiting spatial-temporal redundancy: Spatially, th...
RESULT
ScienceToStartup currently rates this 8.0/10 on the public viability pass. Experimental results indicate that GVC1D attains superior compression efficiency, where it achieves bitrate reductions of 60.4\% under LPIPS and 68.8\% under DISTS on the HEVC Class B dataset, surpassing...
WHY NOW
Generative Video Compression moved forward this cycle; last verified April 2026. Public score 8.0/10.
Experimental results indicate that GVC1D attains superior compression efficiency, where it achieves bitrate reductions of 60.4% under LPIPS and 68.8% under DISTS on the HEVC Class B dataset
Explicitly stated in abstract with specific numeric results
partial
Experimental results indicate that GVC1D attains superior compression efficiency, where it achieves bitrate reductions of 60.4% under LPIPS and 68.8% under DISTS on the HEVC Class B dataset
Explicitly stated in abstract with specific numeric results
partial
Experimental results indicate that GVC1D attains superior compression efficiency... surpassing the previous video compression methods
Directly stated in abstract with supporting experimental results
partial
the 2D latent grid inevitably preserves intra-frame redundancy due to its rigid structure, where adjacent patches remain highly similar, thereby necessitating a higher bitrate
Directly stated in abstract as a limitation of existing methods
partial
the 2D latent grid is less effective for modeling long-term correlations in a compact and semantically coherent manner, as it hinders the aggregation of common contents across frames
Directly stated in abstract as a limitation of existing methods
partial
GVC1D encodes the video data into extreme compact 1D latent tokens conditioned on both short- and long-term contexts
Directly stated in abstract describing the core method
partial
Without the rigid 2D spatial correspondence, these 1D latent tokens can adaptively attend to semantic regions and naturally facilitate token reduction, thereby reducing spatial redundancy
Directly stated in abstract describing advantages of the method
partial
the proposed 1D memory provides semantically rich long-term context while maintaining low computational cost, thereby further reducing temporal redundancy
Directly stated in abstract describing technical advantages
partial
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GVC1D revolutionizes video compression by using a compact one-dimensional latent representation to enhance efficiency and reduce bitrate significantly.
Segment
Generative Video Compression
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8.0/10 public viability
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