🕹️ Official Implementation of Conditional Motion In-betweening (CMIB) 🏃

Overview

Conditional Motion In-Betweening (CMIB)

Official implementation of paper: Conditional Motion In-betweeening.

Paper(arXiv) | Project Page | YouTube

Graphical Abstract

in-betweening pose-conditioned
walk jump dance

Environments

This repo is tested on following environment:

  • Ubuntu 20.04
  • Python >= 3.7
  • PyTorch == 1.10.1
  • Cuda V11.3.109

Install

  1. Follow LAFAN1 dataset's installation guide. You need to install git lfs first before cloning the dataset repo.

  2. Run LAFAN1's evaluate.py to unzip and validate it. (Install numpy first if you don't have it)

    $ pip install numpy
    $ python ubisoft-laforge-animation-dataset/evaluate.py 

    With this, you will have unpacked LAFAN dataset under ubisoft-laforge-animation-dataset folder.

  3. Install appropriate pytorch version depending on your device(CPU/GPU), then install packages listed in requirements.txt. .

Trained Weights

You can download trained weights from here.

Train from Scratch

Trining script is trainer.py.

python trainer.py \
	--processed_data_dir="processed_data_80/" \
	--window=90 \
	--batch_size=32 \
	--epochs=5000 \
	--device=0 \
	--entity=cmib_exp \
	--exp_name="cmib_80" \
	--save_interval=50 \
	--learning_rate=0.0001 \
	--loss_cond_weight=1.5 \
	--loss_pos_weight=0.05 \
	--loss_rot_weight=2.0 \
	--from_idx=9 \
	--target_idx=88 \
	--interpolation='slerp'

Inference

You can use run_cmib.py for inference. Please refer to help page of run_cmib.py for more details.

python run_cmib.py --help

Reference

  • LAFAN1 Dataset
    @article{harvey2020robust,
    author    = {Félix G. Harvey and Mike Yurick and Derek Nowrouzezahrai and Christopher Pal},
    title     = {Robust Motion In-Betweening},
    booktitle = {ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH)},
    publisher = {ACM}, 
    volume    = {39},
    number    = {4},
    year      = {2020}
    }
    

Citation

@misc{kim2022conditional,
      title={Conditional Motion In-betweening}, 
      author={Jihoon Kim and Taehyun Byun and Seungyoun Shin and Jungdam Won and Sungjoon Choi},
      year={2022},
      eprint={2202.04307},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Author

Comments
  • shaking for start and  target when I training my self dataset?

    shaking for start and target when I training my self dataset?

    when I trained myself data for 175epoch , I found the result sequence joint with start and target will suddenly shake. I wan't to know , How can reduce this phenomenon?

    opened by miaoYuanyuan 12
  • Benchmark models show different l2p,l2q from the paper

    Benchmark models show different l2p,l2q from the paper

    I download the benchmark models from the site, and test it on lanfan dataset. But the l2p and l2q are diffrent from the paper. I wonder if something wrong with my setting. Or, the benchmark models are not the best setting trained models.

    opened by holyhao 4
  • Question how is the performance in regards to hand/finger movement and facial expressions?

    Question how is the performance in regards to hand/finger movement and facial expressions?

    I was wondering if the method also works on "finer" detail movement in regards to the smaller body parts as hands and facial expressions.

    Cool work ;)

    opened by AIMads 2
  • Use linear probed discriminator

    Use linear probed discriminator

    Current unrolled state does not handle sequential data, which may lead to fail capture modality. Consider using the last cell state as a motion descriptor and discriminator input.

    opened by jihoonerd 2
  • where I can find corresponding code about Motion data augmentation?

    where I can find corresponding code about Motion data augmentation?

    Based on my own understand, there are 3 parts process about traing.

    1. Randomized Shuffled Anchor Pose: corresponding to the random mask_start_frame.
    2. Semantic Embedding: in the network Sturcture, cond_embedding
    3. motion data augmentation? I can't find the corresponding code?
    opened by miaoYuanyuan 1
  • Some questions about the input of network

    Some questions about the input of network

    The input of transformer model is [seq_len, batch_size, embedding_dim] instead of [batch_size, seq_len, embedding_dim], what‘s the purpose of this design?

    opened by icech 1
  • Current test.py does not support continuous code

    Current test.py does not support continuous code

    Continuous codes are uniformly distributed in the range of [-1,1]. We need a test code to confirm varying continuous code similar as how we do in discrete code case.

    opened by jihoonerd 1
  • Bump pillow from 8.1.2 to 8.2.0

    Bump pillow from 8.1.2 to 8.2.0

    Bumps pillow from 8.1.2 to 8.2.0.

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    https://pillow.readthedocs.io/en/stable/releasenotes/8.2.0.html

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    Dependencies

    Deprecations

    ... (truncated)

    Changelog

    Sourced from pillow's changelog.

    8.2.0 (2021-04-01)

    • Added getxmp() method #5144 [UrielMaD, radarhere]

    • Add ImageShow support for GraphicsMagick #5349 [latosha-maltba, radarhere]

    • Do not load transparent pixels from subsequent GIF frames #5333 [zewt, radarhere]

    • Use LZW encoding when saving GIF images #5291 [raygard]

    • Set all transparent colors to be equal in quantize() #5282 [radarhere]

    • Allow PixelAccess to use Python int when parsing x and y #5206 [radarhere]

    • Removed Image._MODEINFO #5316 [radarhere]

    • Add preserve_tone option to autocontrast #5350 [elejke, radarhere]

    • Fixed linear_gradient and radial_gradient I and F modes #5274 [radarhere]

    • Add support for reading TIFFs with PlanarConfiguration=2 #5364 [kkopachev, wiredfool, nulano]

    • Deprecated categories #5351 [radarhere]

    • Do not premultiply alpha when resizing with Image.NEAREST resampling #5304 [nulano]

    • Dynamically link FriBiDi instead of Raqm #5062 [nulano]

    • Allow fewer PNG palette entries than the bit depth maximum when saving #5330 [radarhere]

    • Use duration from info dictionary when saving WebP #5338 [radarhere]

    • Stop flattening EXIF IFD into getexif() #4947 [radarhere, kkopachev]

    ... (truncated)

    Commits
    • e0e353c 8.2.0 version bump
    • ee635be Merge pull request #5377 from hugovk/security-and-release-notes
    • 694c84f Fix typo [ci skip]
    • 8febdad Review, typos and lint
    • fea4196 Reorder, roughly alphabetic
    • 496245a Fix BLP DOS -- CVE-2021-28678
    • 22e9bee Fix DOS in PSDImagePlugin -- CVE-2021-28675
    • ba65f0b Fix Memory DOS in ImageFont
    • bb6c11f Fix FLI DOS -- CVE-2021-28676
    • 5a5e6db Fix EPS DOS on _open -- CVE-2021-28677
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  • Bump pillow from 8.0.1 to 8.2.0 in /wandb/run-20210721_164106-3rr1e9j2/files

    Bump pillow from 8.0.1 to 8.2.0 in /wandb/run-20210721_164106-3rr1e9j2/files

    ⚠️ Dependabot is rebasing this PR ⚠️

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    Bumps pillow from 8.0.1 to 8.2.0.

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    8.2.0

    https://pillow.readthedocs.io/en/stable/releasenotes/8.2.0.html

    Changes

    Dependencies

    Deprecations

    ... (truncated)

    Changelog

    Sourced from pillow's changelog.

    8.2.0 (2021-04-01)

    • Added getxmp() method #5144 [UrielMaD, radarhere]

    • Add ImageShow support for GraphicsMagick #5349 [latosha-maltba, radarhere]

    • Do not load transparent pixels from subsequent GIF frames #5333 [zewt, radarhere]

    • Use LZW encoding when saving GIF images #5291 [raygard]

    • Set all transparent colors to be equal in quantize() #5282 [radarhere]

    • Allow PixelAccess to use Python int when parsing x and y #5206 [radarhere]

    • Removed Image._MODEINFO #5316 [radarhere]

    • Add preserve_tone option to autocontrast #5350 [elejke, radarhere]

    • Fixed linear_gradient and radial_gradient I and F modes #5274 [radarhere]

    • Add support for reading TIFFs with PlanarConfiguration=2 #5364 [kkopachev, wiredfool, nulano]

    • Deprecated categories #5351 [radarhere]

    • Do not premultiply alpha when resizing with Image.NEAREST resampling #5304 [nulano]

    • Dynamically link FriBiDi instead of Raqm #5062 [nulano]

    • Allow fewer PNG palette entries than the bit depth maximum when saving #5330 [radarhere]

    • Use duration from info dictionary when saving WebP #5338 [radarhere]

    • Stop flattening EXIF IFD into getexif() #4947 [radarhere, kkopachev]

    ... (truncated)

    Commits
    • e0e353c 8.2.0 version bump
    • ee635be Merge pull request #5377 from hugovk/security-and-release-notes
    • 694c84f Fix typo [ci skip]
    • 8febdad Review, typos and lint
    • fea4196 Reorder, roughly alphabetic
    • 496245a Fix BLP DOS -- CVE-2021-28678
    • 22e9bee Fix DOS in PSDImagePlugin -- CVE-2021-28675
    • ba65f0b Fix Memory DOS in ImageFont
    • bb6c11f Fix FLI DOS -- CVE-2021-28676
    • 5a5e6db Fix EPS DOS on _open -- CVE-2021-28677
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  • Bump urllib3 from 1.24.1 to 1.26.5 in /wandb/run-20210721_164106-3rr1e9j2/files

    Bump urllib3 from 1.24.1 to 1.26.5 in /wandb/run-20210721_164106-3rr1e9j2/files

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    Bumps urllib3 from 1.24.1 to 1.26.5.

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    1.26.5

    :warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

    • Fixed deprecation warnings emitted in Python 3.10.
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    • Improved performance of URL parser when splitting the authority component.

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    :warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

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    1.26.3

    :warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

    • Fixed bytes and string comparison issue with headers (Pull #2141)

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    1.26.2

    :warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

    • Fixed an issue where wrap_socket and CERT_REQUIRED wouldn't be imported properly on Python 2.7.8 and earlier (Pull #2052)

    1.26.1

    :warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

    • Fixed an issue where two User-Agent headers would be sent if a User-Agent header key is passed as bytes (Pull #2047)

    1.26.0

    :warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

    • Added support for HTTPS proxies contacting HTTPS servers (Pull #1923, Pull #1806)

    • Deprecated negotiating TLSv1 and TLSv1.1 by default. Users that still wish to use TLS earlier than 1.2 without a deprecation warning should opt-in explicitly by setting ssl_version=ssl.PROTOCOL_TLSv1_1 (Pull #2002) Starting in urllib3 v2.0: Connections that receive a DeprecationWarning will fail

    • Deprecated Retry options Retry.DEFAULT_METHOD_WHITELIST, Retry.DEFAULT_REDIRECT_HEADERS_BLACKLIST and Retry(method_whitelist=...) in favor of Retry.DEFAULT_ALLOWED_METHODS, Retry.DEFAULT_REMOVE_HEADERS_ON_REDIRECT, and Retry(allowed_methods=...) (Pull #2000) Starting in urllib3 v2.0: Deprecated options will be removed

    ... (truncated)

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    1.26.5 (2021-05-26)

    • Fixed deprecation warnings emitted in Python 3.10.
    • Updated vendored six library to 1.16.0.
    • Improved performance of URL parser when splitting the authority component.

    1.26.4 (2021-03-15)

    • Changed behavior of the default SSLContext when connecting to HTTPS proxy during HTTPS requests. The default SSLContext now sets check_hostname=True.

    1.26.3 (2021-01-26)

    • Fixed bytes and string comparison issue with headers (Pull #2141)

    • Changed ProxySchemeUnknown error message to be more actionable if the user supplies a proxy URL without a scheme. (Pull #2107)

    1.26.2 (2020-11-12)

    • Fixed an issue where wrap_socket and CERT_REQUIRED wouldn't be imported properly on Python 2.7.8 and earlier (Pull #2052)

    1.26.1 (2020-11-11)

    • Fixed an issue where two User-Agent headers would be sent if a User-Agent header key is passed as bytes (Pull #2047)

    1.26.0 (2020-11-10)

    • NOTE: urllib3 v2.0 will drop support for Python 2. Read more in the v2.0 Roadmap <https://urllib3.readthedocs.io/en/latest/v2-roadmap.html>_.

    • Added support for HTTPS proxies contacting HTTPS servers (Pull #1923, Pull #1806)

    • Deprecated negotiating TLSv1 and TLSv1.1 by default. Users that still wish to use TLS earlier than 1.2 without a deprecation warning

    ... (truncated)

    Commits
    • d161647 Release 1.26.5
    • 2d4a3fe Improve performance of sub-authority splitting in URL
    • 2698537 Update vendored six to 1.16.0
    • 07bed79 Fix deprecation warnings for Python 3.10 ssl module
    • d725a9b Add Python 3.10 to GitHub Actions
    • 339ad34 Use pytest==6.2.4 on Python 3.10+
    • f271c9c Apply latest Black formatting
    • 1884878 [1.26] Properly proxy EOF on the SSLTransport test suite
    • a891304 Release 1.26.4
    • 8d65ea1 Merge pull request from GHSA-5phf-pp7p-vc2r
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  • Bump tensorflow-gpu from 1.15.3 to 2.4.2 in /wandb/run-20210721_164106-3rr1e9j2/files

    Bump tensorflow-gpu from 1.15.3 to 2.4.2 in /wandb/run-20210721_164106-3rr1e9j2/files

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    Bumps tensorflow-gpu from 1.15.3 to 2.4.2.

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    TensorFlow 2.4.2

    Release 2.4.2

    This release introduces several vulnerability fixes:

    ... (truncated)

    Changelog

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    Release 2.4.2

    This release introduces several vulnerability fixes:

    • Fixes a heap buffer overflow in RaggedBinCount (CVE-2021-29512)
    • Fixes a heap out of bounds write in RaggedBinCount (CVE-2021-29514)
    • Fixes a type confusion during tensor casts which leads to dereferencing null pointers (CVE-2021-29513)
    • Fixes a reference binding to null pointer in MatrixDiag* ops (CVE-2021-29515)
    • Fixes a null pointer dereference via invalid Ragged Tensors (CVE-2021-29516)
    • Fixes a division by zero in Conv3D (CVE-2021-29517)
    • Fixes vulnerabilities where session operations in eager mode lead to null pointer dereferences (CVE-2021-29518)
    • Fixes a CHECK-fail in SparseCross caused by type confusion (CVE-2021-29519)
    • Fixes a segfault in SparseCountSparseOutput (CVE-2021-29521)
    • Fixes a heap buffer overflow in Conv3DBackprop* (CVE-2021-29520)
    • Fixes a division by 0 in Conv3DBackprop* (CVE-2021-29522)
    • Fixes a CHECK-fail in AddManySparseToTensorsMap (CVE-2021-29523)
    • Fixes a division by 0 in Conv2DBackpropFilter (CVE-2021-29524)
    • Fixes a division by 0 in Conv2DBackpropInput (CVE-2021-29525)
    • Fixes a division by 0 in Conv2D (CVE-2021-29526)
    • Fixes a division by 0 in QuantizedConv2D (CVE-2021-29527)
    • Fixes a division by 0 in QuantizedMul (CVE-2021-29528)
    • Fixes vulnerabilities caused by invalid validation in SparseMatrixSparseCholesky (CVE-2021-29530)
    • Fixes a heap buffer overflow caused by rounding (CVE-2021-29529)
    • Fixes a CHECK-fail in tf.raw_ops.EncodePng (CVE-2021-29531)
    • Fixes a heap out of bounds read in RaggedCross (CVE-2021-29532)
    • Fixes a CHECK-fail in DrawBoundingBoxes

    ... (truncated)

    Commits
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    • a0c8093 Update BUILD
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    • 4aaac2b Merge pull request #50185 from geetachavan1/cherrypicks_U90C1
    • 65afa4b Fix the nightly nonpip builds for MacOS.
    • 46c1821 Merge pull request #50184 from tensorflow/mihaimaruseac-patch-1
    • cf8d667 Update common_win.bat
    • b2ef8a6 Merge pull request #50061 from tensorflow/geetachavan1-patch-2
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