{"total":19,"rows":[{"id":"2411.05007","title":"SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models","created":"2024-11-07","cited_by_count":170,"area":"diffusion"},{"id":"2412.07517","title":"FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing","created":"2024-12-10","cited_by_count":68,"area":"diffusion"},{"id":"2410.01723","title":"HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration","created":"2024-10-02","cited_by_count":17,"area":"diffusion"},{"id":"2508.03485","title":"LRQ-DiT: Log-Rotation Post-Training Quantization of Diffusion Transformers for Image and Video Generation","created":"2025-08-05","cited_by_count":12,"area":"diffusion"},{"id":"2503.16522","title":"Adams Bashforth Moulton Solver for Inversion and Editing in Rectified Flow","created":"2025-03-17","cited_by_count":10,"area":"diffusion"},{"id":"2512.03673","title":"ConvRot: Rotation-Based Plug-and-Play 4-bit Quantization for Diffusion Transformers","created":"2025-12-03","cited_by_count":7,"area":"diffusion"},{"id":"2411.19050","title":"I Dream My Painting: Connecting MLLMs and Diffusion Models via Prompt Generation for Text-Guided Multi-Mask Inpainting","created":"2024-11-28","cited_by_count":6,"area":"diffusion"},{"id":"2508.12094","title":"Error Propagation Mechanisms and Compensation Strategies for Quantized Diffusion","created":"2025-08-16","cited_by_count":5,"area":"diffusion"},{"id":"2605.16732","title":"DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers","created":"2026-05-16","cited_by_count":5,"area":"diffusion"},{"id":"2406.00505","title":"Improving Text Generation on Images with Synthetic Captions","created":"2024-06-01","cited_by_count":3,"area":"diffusion"},{"id":"2507.12318","title":"Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models","created":"2025-07-16","cited_by_count":3,"area":"diffusion"},{"id":"2604.18117","title":"LoRaQ: Optimized Low Rank Approximation for 4-bit Quantization","created":"2026-04-20","cited_by_count":2,"area":"diffusion"},{"id":"2509.26436","title":"Post-Training Quantization via Residual Truncation and Zero Suppression for Diffusion Models","created":"2025-09-30","cited_by_count":1,"area":"diffusion"},{"id":"2507.14811","title":"SegQuant: A Semantics-Aware and Generalizable Quantization Framework for Diffusion Models","created":"2025-07-20","cited_by_count":0,"area":"diffusion"},{"id":"2603.14062","title":"TMPDiff: Temporal Mixed-Precision for Diffusion Models","created":"2026-03-14","cited_by_count":0,"area":"diffusion"},{"id":"2605.26632","title":"RT-Lynx: Putting GEMM Sparsity in the Right Place for Diffusion Models","created":"2026-05-26","cited_by_count":0,"area":"diffusion"},{"id":"2607.21446","title":"KroQuant: Kronecker-Structured Block Transforms for Efficient Post-Training Quantization of Diffusion Transformers","created":"2026-07-23","cited_by_count":0,"area":"diffusion"},{"id":"2608.03057","title":"TASQ: Temporal-Adaptive Bit Sparsification Quantization for Diffusion Models","created":"2026-08-04","cited_by_count":0,"area":"diffusion"},{"id":"2609.21407","title":"Quantization-Aware Kalman Estimation for Diffusion Sampling","created":"2026-09-18","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}