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V041
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README.md

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## What's new
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### - v0.4.1
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- Added new models:
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- DPFlow [https://arxiv.org/abs/2503.14880](https://arxiv.org/abs/2503.14880)
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- StreamFlow [https://arxiv.org/abs/2311.17099](https://arxiv.org/abs/2311.17099)
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- Additions / fixes:
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- Add 4K read mode for Spring dataset
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- Add missing arguments for Middlebury-ST and VIPER datasets
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- Fix RAFT config files
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- Fix RAPIDFlow config files
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### - v0.4.0
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Major update to support Lightning 2 (finally!). However, it also introduces breaking changes from the previous v0.3 code. See the details below.
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- CSFlow [https://arxiv.org/abs/2202.00909](https://arxiv.org/abs/2202.00909)
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- DICL-Flow [https://arxiv.org/abs/2010.14851](https://arxiv.org/abs/2010.14851)
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- DIP [https://arxiv.org/abs/2204.00330](https://arxiv.org/abs/2204.00330)
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- DPFlow [https://arxiv.org/abs/2503.14880](https://arxiv.org/abs/2503.14880)
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- FastFlowNet [https://arxiv.org/abs/2103.04524](https://arxiv.org/abs/2103.04524)
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- Flow1D [https://arxiv.org/abs/2103.04524](https://arxiv.org/abs/2103.04524)
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- FlowFormer [https://arxiv.org/abs/2203.16194](https://arxiv.org/abs/2203.16194)
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- SKFlow [https://arxiv.org/abs/2205.14623](https://arxiv.org/abs/2205.14623)
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- SplatFlow [https://arxiv.org/abs/2306.08887](https://arxiv.org/abs/2306.08887)
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- STaRFlow [https://arxiv.org/abs/2007.05481](https://arxiv.org/abs/2007.05481)
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- StreamFlow [https://arxiv.org/abs/2311.17099](https://arxiv.org/abs/2311.17099)
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- VCN [https://papers.nips.cc/paper/2019/file/bbf94b34eb32268ada57a3be5062fe7d-Paper.pdf](https://papers.nips.cc/paper/2019/file/bbf94b34eb32268ada57a3be5062fe7d-Paper.pdf)
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- VideoFlow [https://arxiv.org/abs/2303.08340](https://arxiv.org/abs/2303.08340)
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configs/results/validate_all.yaml

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all: true
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select: null
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exclude: null
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ckpt_path: things
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ckpt_path: null
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output_path: outputs/validate
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write_outputs: false
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show: false
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seq_val_mode: all
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write_individual_metrics: false
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epe_clip: 5.0
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metric_exclude:
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- wauc
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seed_everything: true
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data:
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predict_dataset: null
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test_dataset: null
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train_dataset: null
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val_dataset: sintel-clean+sintel-final+kitti-2015
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val_dataset: sintel-clean-occ+sintel-final-occ+kitti-2012+kitti-2015
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train_batch_size: null
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train_num_workers: 4
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train_crop_size: null

configs/results/validate_all_things.yaml

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write_individual_metrics: false
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metric_exclude: null
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seed_everything: true
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data:
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predict_dataset: null

docs/source/_static/plot-memory(gb)-fp32-sintel-final-occ-val_epe.html

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docs/source/_static/plot-memory(gb)-fp32-sintel-final-occ-val_flall.html

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docs/source/_static/plot-params-flops.html

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docs/source/_static/plot-sintel-final-occ-val_epe-kitti-2015-val_flall.html

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docs/source/_static/plot-time(ms)-fp32-sintel-final-occ-val_epe.html

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docs/source/datasets/datasets_list.rst

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Dataset link: `https://github.com/google-research/kubric <https://github.com/google-research/kubric>`_
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Kubric-NK
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---------
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Paper: **DPFlow: Adaptive Optical Flow Estimation with a Dual-Pyramid Framework** - `https://arxiv.org/abs/2503.14880 <https://arxiv.org/abs/2503.14880>`_
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Dataset link: `https://github.com/hmorimitsu/kubric-nk <https://github.com/hmorimitsu/kubric-nk>`_
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Middlebury
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----------
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