We propose a fast text-guided image editing method called InstantEdit based on the RectifiedFlow framework, which is structured as a few-step editing process that preserves critical content while following closely to textual instructions. Our approach leverages the straight sampling trajectories of RectifiedFlow by introducing a specialized inversion strategy called PerRFI. To maintain consistent while editable results for RectifiedFlow model, we further propose a novel regeneration method, Inversion Latent Injection, which effectively reuses latent information obtained during inversion to facilitate more coherent and detailed regeneration. Additionally, we propose a Disentangled Prompt Guidance technique to balance editability with detail preservation, and integrate a Canny-conditioned ControlNet to incorporate structural cues and suppress artifacts. Evaluation on the PIE image editing dataset demonstrates that InstantEdit is not only fast but also achieves better qualitative and quantitative results compared to state-of-the-art few-step editing methods.

We tackle the task of geometric image editing, where an object within an image is repositioned, reoriented, or reshaped while preserving overall scene coherence. Previous diffusion-based editing methods often attempt to handle all relevant subtasks in a single step, proving difficult when transformations become large or structurally complex. We address this by proposing a decoupled pipeline that separates object transformation, source region inpainting, and target region refinement. Both inpainting and refinement are implemented using a training-free diffusion approach, FreeFine. In experiments on our new GeoBench benchmark, which contains both 2D and 3D editing scenarios, FreeFine outperforms state-of-the-art alternatives in image fidelity, and edit precision, especially under demanding transformations. Code and benchmark are available at: https://github.com/CIawevy/FreeFine

Novel algorithms for locating bridging faults, based on the voting and wired models, in combinational circuits are presented. The algorithm uses small portions of the stuck-at fault dictionary, not the bridge fault dictionary, computed during fault location. This, along with an implicit representation of bridging faults, contributes significantly to the efficiency of the algorithm. Experimental evaluation of the algorithm on ISCAS circuits is presented.

A diagnostic test generation system for computing I/sub DQQ/ diagnostic test sets for bridging faults in combinational circuits is presented. The system uses fault sampling. Experimental results presented show that fault sampling is a very effective method for computing diagnostic test sets, especially when the number of target faults is very large.

Adaptive diagnosis, a paradigm for diagnosis, is defined. A system based on this paradigm, for I/sub DDQ/ measurement based diagnosis of bridging faults, is reported. Experimental evaluation of the system shows it to be substantially superior to existing systems, especially for larger circuits.

Two faults are said to be equivalent, w.r.t. a test set T, iff they cannot be distinguished by any test in T. The sizes of the equivalence classes are used as a basis for comparing the diagnostic capability of two given test sets. The authors show that modifications of single stuck-at fault simulators leads to very efficient diagnostic simulators when compared with those reported in the literature.>

Article An algorithm for diagnosing two-line bridging faults in combinational circuits Share on Authors: Sreejit Chakravarty View Profile , Yiming Gong View Profile Authors Info & Claims DAC '93: Proceedings of the 30th international Design Automation ConferenceJuly 1993 Pages 520–524https://doi.org/10.1145/157485.165012Online:01 July 1993Publication History 48citation177DownloadsMetricsTotal Citations48Total Downloads177Last 12 Months2Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access