LLNL / trestlesLinks
Exporter for low-level components (e.g. DCT coefficients, MVDs) from the h.264 codec based on the reference implementation.
☆13Updated 2 years ago
Alternatives and similar repositories for trestles
Users that are interested in trestles are comparing it to the libraries listed below
Sorting:
- Official Pytorch implementation for video neural representation (NeRV)☆316Updated last year
- Official PyTorch implementation of Scalable Neural Video Representations with Learnable Positional Features (NeurIPS 2022).☆78Updated last year
- Official Pytorch implementation for HNeRV: a hybrid video neural representation (CVPR 2023)☆132Updated 2 years ago
- FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos☆87Updated 2 years ago
- CVPR18: Learning and Using the Arrow of Time☆38Updated 3 years ago
- efficient video representation through neural fields☆49Updated 3 years ago
- [CVPR 2022] VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution☆292Updated 3 years ago
- Asymmetric Bilateral Motion Estimation for Video Frame Interpolation, ICCV2021☆104Updated 4 years ago
- Source code of "Streamable Neural Fields"☆39Updated 2 years ago
- Pytorch implementation of COIN++ 🍁☆73Updated 3 years ago
- ☆25Updated last year
- Official repo for ECCV 2024 paper: Fast Encoding and Decoding for Implicit Video Representation☆15Updated 2 months ago
- The official implementation of 'Towards Scalable Neural Representation for Diverse Videos' (CVPR 2023)☆47Updated 2 years ago
- Crowdsourced implementation of P.910☆34Updated 4 months ago
- 🏠[CVPR 2024 Highlight] Boosting Neural Representations for Videos with a Conditional Decoder☆45Updated last year
- [ECCV2022] E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context☆46Updated 2 years ago
- Perceptual quality metrics for TensorFlow☆43Updated 3 years ago
- A simple tool to extract motion vectors from h264 encoded videos.☆116Updated last year
- ☆34Updated 4 years ago
- ☆50Updated 4 years ago
- Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022☆157Updated 3 years ago
- The PyTorch implementation for A Perceptual Quality Metric for Video Frame Interpolation☆43Updated last year
- Deep learning based video sensing method for low-power IoT cameras (Smart glasses, GoPro, Blink etc.).☆95Updated 2 years ago
- NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution☆85Updated 2 years ago
- The PyTorch implementation of Latent Video Transformer.☆99Updated last year
- Official Pytorch implementation of SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations☆31Updated last year
- [CVPR 2024] Sparse Global Matching for Video Frame Interpolation with Large Motion☆75Updated last year
- Sandwiched Compression: Repurposing Standard Codecs with Neural Network Wrappers☆47Updated 4 months ago
- Official implementation of the "Efficient Video Compression via Content-Adaptive Super-Resolution" paper in Tensorflow.☆70Updated 3 years ago
- Official repository for downloading and using Inter4K video interpolation dataset☆40Updated 10 months ago