3 papers
quant-ph2026
Non-Unitary Quantum Machine Learning: Fisher Efficiency Transitions from Distributed Quantum Expressivity
Apoorv Kumar Masta, Srinjoy Ganguly, Shalini Devendrababu +3
Quantum machine learning has faced growing scrutiny over its practical advantages compared to classical approaches, particularly following dequantization results and large scale be…
cs.CV2025
PerCoV2: Ultra-Low Bit-Rate Perceptual Image Compression via Query-Based 1D Multimodal Image Tokens
Nikolai Körber, Eduard Kromer, Andreas Siebert +3
Despite recent progress in learned image compression, current image codecs still struggle to maintain realistic reconstructions at low bit-rates, often producing structured artifac…
cs.CV2024
PerCo (SD): Open Perceptual Compression
Nikolai Körber, Eduard Kromer, Andreas Siebert +3
We introduce PerCo (SD), a perceptual image compression method based on Stable Diffusion v2.1, targeting the ultra-low bit range. PerCo (SD) serves as an open and competitive alter…