High-Fidelity Video Compression based on Invertible Neural Transform and Implicit Conditioning

• URL: http://arxiv.org/abs/2606.13957v1
• Date: Thu, 11 Jun 2026 22:37:11 GMT
• Title: High-Fidelity Video Compression based on Invertible Neural Transform and Implicit Conditioning
• Abstract summary: InnVC is an Invertible neural network based Video Codec for wide-range and high-fidelity compression.<n>To the best of our knowledge, InnVC is the first neural video covers operating poins from low fidelity to high fidelity within a single architecture scale.
• Score: 9.466904732249127
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Learning-based video compression has recently achieved competitive rate-distortion performance compared to conventional video codecs. However, most existing methods rely on non-invertible analysis-synthesis transforms, with reconstruction quality subject to both quantization and transform approximation errors. This limitation becomes particularly restrictive at higher quality points, where quantization errors are small and transform-induced distortion dominates. To address this, we propose InnVC, an Invertible neural network based Video Codec for wide-range and high-fidelity compression. The core idea is to preserve an invertible main transform path prior to quantization, while injecting content-adaptive context through a compact implicit conditioning field. This decouples strongly correlated video content from harder-to-model fine details, allowing different components to specialize in complementary reconstruction tasks for more efficient compression. To further improve compressibility, we introduce a scheduled masking strategy that progressively concentrates informative content into fewer latent channels for more effective entropy coding. Experiments on the UVG and MCL-JCV benchmarks show that InnVC achieves strong compression performance over a broad quality range, being particularly effective in the high-quality regime, yielding BD-rate reductions of 21.66% in PSNR and 46.06% in MS-SSIM relative to x265 on UVG. To the best of our knowledge, InnVC is the first neural video codec covers operating poins from low bitrate to high fidelity within a single architecture scale, spanning more than 20 dB in PSNR.

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