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Methods/Invertible 1x1 Convolution

Invertible 1x1 Convolution

Computer VisionIntroduced 200079 papers

Description

The Invertible 1x1 Convolution is a type of convolution used in flow-based generative models that reverses the ordering of channels. The weight matrix is initialized as a random rotation matrix. The log-determinant of an invertible 1 × 1 convolution of a $h \times w \times c$ tensor $h$ with $c \times c$ weight matrix $\mathbf{W}$ is straightforward to compute:

$\log | \text{det}\left(\frac{d\text{conv2D}\left(\mathbf{h};\mathbf{W}\right)}{d\mathbf{h}}\right) | = h \cdot w \cdot \log | \text{det}\left(\mathbf{W}\right) |$

Papers Using This Method

MARBLE: Material Recomposition and Blending in CLIP-Space2025-06-05 PromptVFX: Text-Driven Fields for Open-World 3D Gaussian Animation2025-06-01 Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal2025-02-15 GLow -- A Novel, Flower-Based Simulated Gossip Learning Strategy2025-01-15 Swarm Intelligence-Driven Client Selection for Federated Learning in Cybersecurity applications2024-11-28 For Overall Nighttime Visibility: Integrate Irregular Glow Removal With Glow-Aware Enhancement2024-09-23 Super Monotonic Alignment Search2024-09-12 Enhancing Kurdish Text-to-Speech with Native Corpus Training: A High-Quality WaveGlow Vocoder Approach2024-09-10 ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding2024-06-02 Towards Greener Nights: Exploring AI-Driven Solutions for Light Pollution Management2024-04-15 Consumer Behavior under Benevolent Price Discrimination2024-04-04 A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint2024-03-27 NightHaze: Nighttime Image Dehazing via Self-Prior Learning2024-03-12 Harnessing Density Ratios for Online Reinforcement Learning2024-01-18 An attempt to generate new bridge types from latent space of generative flow2024-01-18 NDELS: A Novel Approach for Nighttime Dehazing, Low-Light Enhancement, and Light Suppression2023-12-11 Rapid Speaker Adaptation in Low Resource Text to Speech Systems using Synthetic Data and Transfer learning2023-12-02 Code-Mixed Text to Speech Synthesis under Low-Resource Constraints2023-12-02 Enhancing Ligand Pose Sampling for Molecular Docking2023-11-30 From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement2023-07-31