arXiv:2511. 21035v2 Announce Type: replace Abstract: Holography offers significant potential for AR/VR applications.
Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.
arXiv:2511. 15022v2 Announce Type: replace-cross Abstract: Complex-valued Gaussian primitives have recently been explored for representing holographic radiance fields in 3D novel view synthesis.
arXiv:2608. 12239v1 Announce Type: cross Abstract: Use this plain-text version for the arXiv abstract field: Learned image compression (LIC) models achieve strong rate-distortion performance but are hindered by high computational complexity and encoding-decoding mismatches across heterogeneous hardware platforms.
The paper introduces Complex-Valued Quadratic Phase Gaussian (CVQPG), a new hologram representation that replaces standard 2D Gaussian splatting with 2D quadratic phase functions. CVQPG adds learnable parameters to control the curvature of these bases, and the authors demonstrate that it improves visual quality by +0.19 dB (RGB) and +0.33 dB (grayscale) over state‑of‑the‑art methods while keeping the same parameter count. Frequency‑domain analysis shows that CVQPG preserves the mid‑to‑high frequency band of natural images.
The paper introduces MIRC, an overfitted image codec that quantizes and entropy‑codes all components—including latents, synthesis network, and entropy models—within a single end‑to‑end rate‑distortion framework inspired by NVRC. It adds a multi‑scale representation with cross‑stage parameter sharing to capture cross‑scale redundancy, yielding a 10.5 % BD‑rate saving over VVC on the CLIC2020 professional set. MIRC offers multiple configurations ranging from 1.2 to 2.9 kMAC per pixel, allowing decoding complexity to be tuned to deployment needs.
arXiv:2609.39222v1 Announce Type: new Abstract: High-compression tokenizers are essential for scaling latent image generative models. However, aggressive compression creates a fundamental tradeoff be...
arXiv:2609.34367v2 Announce Type: replace Abstract: Learned image codecs (LICs) achieve high reconstruction quality, but their decoding speed is often insufficient for immersive virtual reality (VR)....