4 accepted papers
Diffusion models have been promising for trajectory generation tasks due to their ability to capture multimodal behaviors, but their closed-box nature and unconstrained denoising often undermine kinodynamic feasibility. We propose a novel Coupled-Layer Diffusion Model (CLDM) that explicitly embeds a
Image customization, a crucial technique for industrial media production, aims to generate content that is consistent with reference images. However, current approaches conventionally separate image customization into position-aware and position-free customization paradigms and lack a universal fram…
Accurate depth estimation is crucial for 3D reconstruction and precise navigation in posterior segment ophthalmic surgery. However, acquiring annotated data remains challenging due to the impracticality of depth sensors under surgical microscopes. To overcome this limitation, we introduce RetinalDep
Combinatorial Optimization (CO) has been a long-standing challenging research topic featured by its NP-hard nature. Traditionally such problems are approximately solved with heuristic algorithms which are usually fast but may sacrifice the solution quality. Currently, machine learning for combinator…