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Found 5 papers, 4 papers with code
OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving
With the development of implicit rendering technology and in-depth research on using generative models to produce data at scale, we propose OASim, an open and adaptive simulator and autonomous driving data generator based on implicit neural rendering.
QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation
By constraining features from the same location to be closer than those from different ones, it implicitly ensures the result to take content from the source.
Style Transformer for Image Inversion and Editing
Existing GAN inversion methods fail to provide latent codes for reliable reconstruction and flexible editing simultaneously.
Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation
The two types of synthesis, either label- or reference-based, have substantial differences.
LSC-GAN: Latent Style Code Modeling for Continuous Image-to-image Translation
Image-to-image (I2I) translation is usually carried out among discrete domains.
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