The examples of generated images by RQ-Transformer using class conditions and text conditions. Note that the text conditions of the examples are not used in training time. TL;DR For autoregressive (AR ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

🚨🚨🚨 New (2025.03): We are supporting latent perturbation + pFID evaluation proposed in RobustTok! Refer to latent_perturbation.py. ⚠️ ⚠️ ⚠️ Important: You may want to add the perturbation after ...

Abstract: Variable-rate coding is challenging but indispensable for learned image compression (LIC) that is in nature characterized by nonlinear transform coding (NTC). Existing methods for ...

Charge-coupled devices (CCDs) play crucial roles in astronomy owing to their widespread use in the optical band, offering high sensibility, low noise, high dynamic range, and high spatial resolution.

Abstract: The improvement of a new changed algorithms for virtual photograph sampling and quantization in serial and parallel image processing is proposed. The set of rules improves upon existing ...

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