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Found 6 papers, 3 papers with code
FPGAN-Control: A Controllable Fingerprint Generator for Training with Synthetic Data
We demonstrate the merits of FPGAN-Control, both quantitatively and qualitatively, in terms of identity preservation level, degree of appearance control, and low synthetic-to-real domain gap.
Asymmetric Image Retrieval with Cross Model Compatible Ensembles
In this setting, a large model is used for indexing the gallery while a lightweight model is used for querying.
Synthetic Data for Model Selection
In contrast to using synthetic data for training, in this work we explore whether synthetic data can be beneficial for model selection.
GAN-Control: Explicitly Controllable GANs
We present a framework for training GANs with explicit control over generated images.
From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding
We present a method for synthesizing naturally looking images of multiple people interacting in a specific scenario.
Playing SNES in the Retro Learning Environment
The environment is expandable, allowing for more video games and consoles to be easily added to the environment, while maintaining the same interface as ALE.
Ranked #1 on
SNES Games
on F-Zero
