facebookresearch/momentum
Dec 2024 – Feb 2026
6 Months active
Languages Used
C++Python
Technical Skills
C++Software EngineeringCharacter AnimationGeometry ProcessingPython3D Graphics
Federica Bogo
PROFILE
Federica Bogo
Over six months, contributed to the facebookresearch/momentum repository by developing seven features focused on 3D graphics, animation systems, and model calibration. Work included implementing parameterized error evaluation APIs, enhancing geometry customization for character instantiation, and introducing BlendShapeBase for dynamic facial expression management. Leveraged C++ and Python to extend calibration workflows with regularization parameterization and improved motion control through joint velocity penalization and glTF export fidelity. Integrated static methods and cross-file bindings to support reproducible experiments and robust error handling. Emphasized test coverage, code review, and modular design, resulting in adaptable, research-grade pipelines for animation, geometry processing, and deep learning workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
7
Lines of code
1,855
Activity Months6
Your Network
2869 peopleSame Organization
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Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for the momentum repository (facebookresearch/momentum). Delivered a focused API extension to improve parameterized error evaluation and error handling, enabling more precise model tuning and evaluation workflows. The work aligns with business goals of accelerating evaluation cycles and reducing risk in model deployment.
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for the momentum repository (facebookresearch/momentum). Delivered a focused API extension to improve parameterized error evaluation and error handling, enabling more precise model tuning and evaluation workflows. The work aligns with business goals of accelerating evaluation cycles and reducing risk in model deployment.
February 2026
January 2026
4 Commits • 2 Features
Jan 1, 2026January 2026: Key momentum improvements in character motion control and export fidelity for the momentum repository. Implemented a joint velocity magnitude error penalization with epsilon smoothing to stabilize gradient behavior near zero, improving the stability and accuracy of motion constraints. Added per-frame timestamps for glTF exports to enhance motion data fidelity and synchronization with downstream animation pipelines. Changes delivered through a sequence of commits addressing the velocity magnitude error term (PRs #924, #927, #930) and a dedicated export timestamp enhancement (PR #987). Overall impact includes more robust motion constraints, higher fidelity animation data, and reduced debugging/integration time across animation tools.
January 2026
4 Commits • 2 Features
Jan 1, 2026January 2026: Key momentum improvements in character motion control and export fidelity for the momentum repository. Implemented a joint velocity magnitude error penalization with epsilon smoothing to stabilize gradient behavior near zero, improving the stability and accuracy of motion constraints. Added per-frame timestamps for glTF exports to enhance motion data fidelity and synchronization with downstream animation pipelines. Changes delivered through a sequence of commits addressing the velocity magnitude error term (PRs #924, #927, #930) and a dedicated export timestamp enhancement (PR #987). Overall impact includes more robust motion constraints, higher fidelity animation data, and reduced debugging/integration time across animation tools.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 — Momentum calibration feature: Implemented Calibration Model Regularization Weights Parameterization to allow callers to specify varying regularization strengths across calibration stages. This API-level enhancement increases adaptability and potential performance by enabling targeted regularization, supports experimenting with stronger regularization toward identity/global initialization, and ties to stable initialization and convergence. PR 861 (commit f14bb9ba757305c60b9346556356347944b97312) provides documentation and review traces for reproducibility and governance.
1 Commits • 1 Features
Dec 1, 2025December 2025 — Momentum calibration feature: Implemented Calibration Model Regularization Weights Parameterization to allow callers to specify varying regularization strengths across calibration stages. This API-level enhancement increases adaptability and potential performance by enabling targeted regularization, supports experimenting with stronger regularization toward identity/global initialization, and ties to stable initialization and convergence. PR 861 (commit f14bb9ba757305c60b9346556356347944b97312) provides documentation and review traces for reproducibility and governance.
December 2025
November 2025
6 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for facebookresearch/momentum focusing on the BlendShapeBase framework for facial expressions. Delivered a cohesive, testable set of capabilities enabling dynamic parameter management, serialization/persistence, and robust integration with shape computation and character model initialization. Achievements include introducing BlendShapeBase, adding save utilities, adapting compute_shape for BlendShapeBase compatibility, and exposing parameter management via addParameterSet. Work spans multiple commits and PRs, with direct improvements to initialization and test coverage to reduce runtime errors and align with pymomentum character shapes.
November 2025
6 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for facebookresearch/momentum focusing on the BlendShapeBase framework for facial expressions. Delivered a cohesive, testable set of capabilities enabling dynamic parameter management, serialization/persistence, and robust integration with shape computation and character model initialization. Achievements include introducing BlendShapeBase, adding save utilities, adapting compute_shape for BlendShapeBase compatibility, and exposing parameter management via addParameterSet. Work spans multiple commits and PRs, with direct improvements to initialization and test coverage to reduce runtime errors and align with pymomentum character shapes.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 performance summary for facebookresearch/momentum. Focused on enhancing geometry customization to support flexible character instantiation workflows. Delivered a new optional flag to control base shape overwriting during blending, enabling experimentation with morph targets while preserving existing behavior by default. The change was implemented with a minimal surface area impact and aligns with momentum's goals of repeatable, configurable 3D morphing pipelines for research-grade models.
1 Commits • 1 Features
Jul 1, 2025July 2025 performance summary for facebookresearch/momentum. Focused on enhancing geometry customization to support flexible character instantiation workflows. Delivered a new optional flag to control base shape overwriting during blending, enabling experimentation with morph targets while preserving existing behavior by default. The change was implemented with a minimal surface area impact and aligns with momentum's goals of repeatable, configurable 3D morphing pipelines for research-grade models.
July 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for facebookresearch/momentum. Key feature delivered enables saving pose prior data to disk, facilitating experiments with pose priors trained on recent data. This required adding a static method to geometry_pybind.cpp and updating corresponding declarations in momentum_geometry.cpp and momentum_geometry.h, tied to commit 64c07b561d9fbcc47e515d0f23e9d6c24a8a5714. Business value: improves reproducibility and accelerates experimental workflows by persisting pose priors for reuse. Overall impact: researchers can save and reuse pose priors more efficiently, reducing setup time and enabling faster iteration. Technologies/skills demonstrated: C++, Pybind11 bindings, geometry module integration, static method exposure, cross-file coordination across momentum geometry components.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for facebookresearch/momentum. Key feature delivered enables saving pose prior data to disk, facilitating experiments with pose priors trained on recent data. This required adding a static method to geometry_pybind.cpp and updating corresponding declarations in momentum_geometry.cpp and momentum_geometry.h, tied to commit 64c07b561d9fbcc47e515d0f23e9d6c24a8a5714. Business value: improves reproducibility and accelerates experimental workflows by persisting pose priors for reuse. Overall impact: researchers can save and reuse pose priors more efficiently, reducing setup time and enabling faster iteration. Technologies/skills demonstrated: C++, Pybind11 bindings, geometry module integration, static method exposure, cross-file coordination across momentum geometry components.
Activity
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Quality Metrics
Correctness94.2%
Maintainability82.8%
Architecture88.6%
Performance81.4%
AI Usage30.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
3D Graphics3D graphics programmingAPI DevelopmentAnimation controlAnimation systemsC++C++ developmentCharacter AnimationComputer graphicsDeep LearningError handlingFile I/OGLTF export functionalityGeometry ProcessingMachine Learning
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