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look-up table

39 papers

LUT

Papers

AceTone: Bridging Words and Colors for Conditional Image Grading CVPR 2026 CAST-LUT: Tokenizer-Guided HSV Look-Up Tables for Purple Flare Removal AAAI 2026 DCA-LUT: Deep Chromatic Alignment with 5D LUT for Purple Fringing Removal AAAI 2026 ShiftLUT: Spatial Shift Enhanced Look-Up Tables for Efficient Image Restoration CVPR 2026 AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning CVPR 2025 D-LUT: Photorealistic Style Transfer via Diffusion Process WACV 2025 DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables CVPR 2025 DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors AAAI 2025 GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models ICML 2025 IM-LUT: Interpolation Mixing Look-Up Tables for Image Super-Resolution ICCV 2025 Lightweight and Fast Real-time Image Enhancement via Decomposition of the Spatial-aware Lookup Tables ICCV 2025 LUT-Fuse: Towards Extremely Fast Infrared and Visible Image Fusion via Distillation to Learnable Look-Up Tables ICCV 2025 Mixture of Lookup Experts ICML 2025 Multi-Frame Deformable Look-Up Table for Compressed Video Quality Enhancement AAAI 2025 Pushing the Limits of BFP on Narrow Precision LLM Inference AAAI 2025 SA-LUT: Spatial Adaptive 4D Look-Up Table for Photorealistic Style Transfer ICCV 2025 The Graph’s Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation IJCAI 2025 Video Color Grading via Look-Up Table Generation ICCV 2025 Differentiable Weightless Neural Networks ICML 2024 Efficient Look-Up Table from Expanded Convolutional Network for Accelerating Image Super-resolution AAAI 2024 Fast Matrix Multiplications for Lookup Table-Quantized LLMs EMNLP 2024 High-Resolution Image Harmonization with Adaptive-Interval Color Transformation NeurIPS 2024 Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution IJCAI 2024 Look-Up Table Compression for Efficient Image Restoration CVPR 2024 LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models ICLR 2024