Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis. (Not updating).

nile649, updated 🕥 2023-02-15 20:58:02

Important : Experimental Research Code

POLY-GAN

Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis

Abstract

We present Poly-GAN, a novel conditional GAN architecture that is motivated by Fashion Synthesis, an application where garments are automatically placed on images of human models at an arbitrary pose. Poly-GAN allows conditioning on multiple inputs and is suitable for many tasks, including image alignment, image stitching and inpainting. Existing methods have a similar pipeline where three different networks are used to first align garments with the human pose, then perform stitching of the aligned garment and finally refine the results. Poly-GAN is the first instance where a common architecture is used to perform all three tasks. Our novel architecture enforces the conditions at all layers of the encoder and utilizes skip connections from the coarse layers of the encoder to the respective layers of the decoder. Poly-GAN is able to perform a spatial transformation of the garment based on the RGB skeleton of the model at an arbitrary pose. Additionally, Poly-GAN can perform image stitching, regardless of the garment orientation, and inpainting on the garment mask when it contains irregular holes. Our system achieves state-of-the-art quantitative results on Structural Similarity Index metric and Inception Score metric using the DeepFashion dataset.

Result

| Method | SSIM | IS | | ---------------- |:-------------:| -------:| | CP-VTON | 0.688 | 2.6049 | | MG-VTON | 0.744 | 3.03 | | Poly-GAN Stage 2 | 0.7174 | 2.8193 | | Poly-GAN Stage 3 | 0.7369 | 2.6549 | | Poly-GAN Stage 4 | 0.7251 | 2.7904 |

Architecture of POLY-GAN

Alt text

Alt text

Libraries:

cat requirements.txt | xargs -n 1 pip install

Test:

Download pre-trained models and Data from https://drive.google.com/drive/folders/18eu3OrNh9TbmiED0sotbzGPtLCCecSeT?usp=sharing It has pre-trained weights for Stage 1, Stage 2 and Stage 3.

In test.py, you need to provide location of the pre-trained weights of the stage you will be testing, Target and Reference Image name as well.

The dataset used is borrowed from the code CP-VTON https://github.com/sergeywong/cp-vton

Cite:

    @article{PANDEY2020,
    title = "Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis",
    journal = "Neurocomputing",
    year = "2020",
    issn = "0925-2312",
    author = "Nilesh Pandey and Andreas Savakis",
    }

Issues

Bump werkzeug from 0.14.1 to 2.2.3

opened on 2023-02-15 20:57:57 by dependabot[bot]

Bumps werkzeug from 0.14.1 to 2.2.3.

Release notes

Sourced from werkzeug's releases.

2.2.3

This is a fix release for the 2.2.x release branch.

This release contains security fixes for:

2.2.2

This is a fix release for the 2.2.0 feature release.

2.2.1

This is a fix release for the 2.2.0 feature release.

2.2.0

This is a feature release, which includes new features and removes previously deprecated features. The 2.2.x branch is now the supported bugfix branch, the 2.1.x branch will become a tag marking the end of support for that branch. We encourage everyone to upgrade, and to use a tool such as pip-tools to pin all dependencies and control upgrades.

2.1.2

This is a fix release for the 2.1.0 feature release.

2.1.1

This is a fix release for the 2.1.0 feature release.

2.1.0

This is a feature release, which includes new features and removes previously deprecated features. The 2.1.x branch is now the supported bugfix branch, the 2.0.x branch will become a tag marking the end of support for that branch. We encourage everyone to upgrade, and to use a tool such as pip-tools to pin all dependencies and control upgrades.

2.0.3

... (truncated)

Changelog

Sourced from werkzeug's changelog.

Version 2.2.3

Released 2023-02-14

  • Ensure that URL rules using path converters will redirect with strict slashes when the trailing slash is missing. :issue:2533
  • Type signature for get_json specifies that return type is not optional when silent=False. :issue:2508
  • parse_content_range_header returns None for a value like bytes */-1 where the length is invalid, instead of raising an AssertionError. :issue:2531
  • Address remaining ResourceWarning related to the socket used by run_simple. Remove prepare_socket, which now happens when creating the server. :issue:2421
  • Update pre-existing headers for multipart/form-data requests with the test client. :issue:2549
  • Fix handling of header extended parameters such that they are no longer quoted. :issue:2529
  • LimitedStream.read works correctly when wrapping a stream that may not return the requested size in one read call. :issue:2558
  • A cookie header that starts with = is treated as an empty key and discarded, rather than stripping the leading ==.
  • Specify a maximum number of multipart parts, default 1000, after which a RequestEntityTooLarge exception is raised on parsing. This mitigates a DoS attack where a larger number of form/file parts would result in disproportionate resource use.

Version 2.2.2

Released 2022-08-08

  • Fix router to restore the 2.1 strict_slashes == False behaviour whereby leaf-requests match branch rules and vice versa. :pr:2489
  • Fix router to identify invalid rules rather than hang parsing them, and to correctly parse / within converter arguments. :pr:2489
  • Update subpackage imports in :mod:werkzeug.routing to use the import as syntax for explicitly re-exporting public attributes. :pr:2493
  • Parsing of some invalid header characters is more robust. :pr:2494
  • When starting the development server, a warning not to use it in a production deployment is always shown. :issue:2480
  • LocalProxy.__wrapped__ is always set to the wrapped object when the proxy is unbound, fixing an issue in doctest that would cause it to fail. :issue:2485
  • Address one ResourceWarning related to the socket used by run_simple. :issue:2421

... (truncated)

Commits
  • 22a254f release version 2.2.3
  • 517cac5 Merge pull request from GHSA-xg9f-g7g7-2323
  • babc8d9 rewrite docs about request data limits
  • 09449ee clean up docs
  • fe899d0 limit the maximum number of multipart form parts
  • cf275f4 Merge pull request from GHSA-px8h-6qxv-m22q
  • 8c2b4b8 don't strip leading = when parsing cookie
  • 7c7ce5c [pre-commit.ci] pre-commit autoupdate (#2585)
  • 19ae03e [pre-commit.ci] auto fixes from pre-commit.com hooks
  • a83d3b8 [pre-commit.ci] pre-commit autoupdate
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Bump ipython from 7.2.0 to 8.10.0

opened on 2023-02-10 23:35:36 by dependabot[bot]

Bumps ipython from 7.2.0 to 8.10.0.

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See https://pypi.org/project/ipython/

We do not use GitHub release anymore. Please see PyPI https://pypi.org/project/ipython/

7.9.0

No release notes provided.

7.8.0

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7.7.0

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7.6.1

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7.6.0

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7.4.0

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7.3.0

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Commits
  • 15ea1ed release 8.10.0
  • 560ad10 DOC: Update what's new for 8.10 (#13939)
  • 7557ade DOC: Update what's new for 8.10
  • 385d693 Merge pull request from GHSA-29gw-9793-fvw7
  • e548ee2 Swallow potential exceptions from showtraceback() (#13934)
  • 0694b08 MAINT: mock slowest test. (#13885)
  • 8655912 MAINT: mock slowest test.
  • a011765 Isolate the attack tests with setUp and tearDown methods
  • c7a9470 Add some regression tests for this change
  • fd34cf5 Swallow potential exceptions from showtraceback()
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Bump cryptography from 3.2 to 39.0.1

opened on 2023-02-08 00:39:37 by dependabot[bot]

Bumps cryptography from 3.2 to 39.0.1.

Changelog

Sourced from cryptography's changelog.

39.0.1 - 2023-02-07


* **SECURITY ISSUE** - Fixed a bug where ``Cipher.update_into`` accepted Python
  buffer protocol objects, but allowed immutable buffers. **CVE-2023-23931**
* Updated Windows, macOS, and Linux wheels to be compiled with OpenSSL 3.0.8.

.. _v39-0-0:

39.0.0 - 2023-01-01

  • BACKWARDS INCOMPATIBLE: Support for OpenSSL 1.1.0 has been removed. Users on older version of OpenSSL will need to upgrade.
  • BACKWARDS INCOMPATIBLE: Dropped support for LibreSSL < 3.5. The new minimum LibreSSL version is 3.5.0. Going forward our policy is to support versions of LibreSSL that are available in versions of OpenBSD that are still receiving security support.
  • BACKWARDS INCOMPATIBLE: Removed the encode_point and from_encoded_point methods on :class:~cryptography.hazmat.primitives.asymmetric.ec.EllipticCurvePublicNumbers, which had been deprecated for several years. :meth:~cryptography.hazmat.primitives.asymmetric.ec.EllipticCurvePublicKey.public_bytes and :meth:~cryptography.hazmat.primitives.asymmetric.ec.EllipticCurvePublicKey.from_encoded_point should be used instead.
  • BACKWARDS INCOMPATIBLE: Support for using MD5 or SHA1 in :class:~cryptography.x509.CertificateBuilder, other X.509 builders, and PKCS7 has been removed.
  • BACKWARDS INCOMPATIBLE: Dropped support for macOS 10.10 and 10.11, macOS users must upgrade to 10.12 or newer.
  • ANNOUNCEMENT: The next version of cryptography (40.0) will change the way we link OpenSSL. This will only impact users who build cryptography from source (i.e., not from a wheel), and specify their own version of OpenSSL. For those users, the CFLAGS, LDFLAGS, INCLUDE, LIB, and CRYPTOGRAPHY_SUPPRESS_LINK_FLAGS environment variables will no longer be respected. Instead, users will need to configure their builds as documented here_.
  • Added support for :ref:disabling the legacy provider in OpenSSL 3.0.x<legacy-provider>.
  • Added support for disabling RSA key validation checks when loading RSA keys via :func:~cryptography.hazmat.primitives.serialization.load_pem_private_key, :func:~cryptography.hazmat.primitives.serialization.load_der_private_key, and :meth:~cryptography.hazmat.primitives.asymmetric.rsa.RSAPrivateNumbers.private_key. This speeds up key loading but is :term:unsafe if you are loading potentially attacker supplied keys.
  • Significantly improved performance for :class:~cryptography.hazmat.primitives.ciphers.aead.ChaCha20Poly1305

... (truncated)

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Bump certifi from 2018.11.29 to 2022.12.7

opened on 2022-12-08 01:54:12 by dependabot[bot]

Bumps certifi from 2018.11.29 to 2022.12.7.

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Bump pillow from 5.4.1 to 9.3.0

opened on 2022-11-22 03:40:21 by dependabot[bot]

Bumps pillow from 5.4.1 to 9.3.0.

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9.3.0

https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html

Changes

... (truncated)

Changelog

Sourced from pillow's changelog.

9.3.0 (2022-10-29)

  • Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [wiredfool]

  • Initialize libtiff buffer when saving #6699 [radarhere]

  • Inline fname2char to fix memory leak #6329 [nulano]

  • Fix memory leaks related to text features #6330 [nulano]

  • Use double quotes for version check on old CPython on Windows #6695 [hugovk]

  • Remove backup implementation of Round for Windows platforms #6693 [cgohlke]

  • Fixed set_variation_by_name offset #6445 [radarhere]

  • Fix malloc in _imagingft.c:font_setvaraxes #6690 [cgohlke]

  • Release Python GIL when converting images using matrix operations #6418 [hmaarrfk]

  • Added ExifTags enums #6630 [radarhere]

  • Do not modify previous frame when calculating delta in PNG #6683 [radarhere]

  • Added support for reading BMP images with RLE4 compression #6674 [npjg, radarhere]

  • Decode JPEG compressed BLP1 data in original mode #6678 [radarhere]

  • Added GPS TIFF tag info #6661 [radarhere]

  • Added conversion between RGB/RGBA/RGBX and LAB #6647 [radarhere]

  • Do not attempt normalization if mode is already normal #6644 [radarhere]

... (truncated)

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No modelhead is there? the output is coming till stage 3 only?

opened on 2022-10-10 08:42:20 by anzwolf None
Nilesh Pandey

.

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