reconstruction error
The difference between the original data and its reconstruction from a model, often used as a loss function to gauge a model's performance in tasks such as autoencoders and other generative models.
- Balanced Conic Rectified Flow
- Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression
- DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image Editing
- Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models
- Reconstruction and Secrecy under Approximate Distance Queries
- TimeWak: Temporal Chained-Hashing Watermark for Time Series Data
- Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling
- Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification
- Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework