PLVC
PLVC (Perceptual Learned Video Compression) is a deep learning-based video compression approach that employs a recurrent conditional GAN. It focuses on achieving high perceptual quality at low bitrates, outperforming traditional codecs like HEVC in user studies and perceptual qua
Link
Related resources
- Comparing H.265/HEVC and VP9: Impact of High Frame Rates on Perceptual QualityAcademic comparison of HEVC and VP9 codecs under high frame-rate conditions, including ffmpeg/libvpx tuning parameters used.
- Benchmarking Conventional and Learned Video Codecs with a Low-Delay ConfigurationAcademic benchmark comparing traditional (HEVC/VVC) and learned video codecs under low-delay configuration constraints.
- MLVC: Multi-platform Learned Video Codec for Real-World DeploymentAcademic paper on a neural video codec targeting competitive compression, real-time speed, and cross-platform (Apple/Intel/Qualcomm NPU) in…
- RefractGuided AVIF/JPEG XL/WebP conversion tool using an iterative quality-search ("optometrist") approach.
- A Comprehensive Review of Software and Hardware Energy Efficiency of Video DecodersCross-codec (AV1/HEVC/VVC/AVM/VP9) energy efficiency and compression review across software and hardware decoders.
- Opus (xiph/opus)Reference implementation of the Opus audio codec, recently adding deep-learning-based packet loss concealment.
- Performance Comparison of AV1, JEM, VP9, and HEVC EncodersFraunhofer HHI SPIE 2017 paper comparing codec internals, BD-BR, and complexity across AV1, JEM, VP9, and HEVC.
- nano-hevcMinimal educational HEVC encoder written in pure Python, readable-over-fast, for teaching codec internals.
- Differentiable VMAF Re-implementation on PyTorchDifferentiable PyTorch reimplementation of VMAF metric enabling gradient-based codec/RDO optimization, with companion code.
- dav1d.wasmWASM port of the dav1d AV1 decoder, SIMD-optimized with TypeScript interfaces, aimed at production use in browsers.