5 accepted papers
Despite the remarkable developments achieved by recent 3D generation works, scaling these methods to geographic extents, such as modeling thousands of square kilometers of Earth’s surface, remains an open challenge. We address this through a dual innovation in data infrastructure and model architect
Diffusion techniques has significantly advanced the development of virtual try-on. However, these methods often struggle to preserve intricate details, such as patterns, texts and faces, etc. To tackle this challenge, we introduce a plug-and-play module named as "TryOn-Refiner", which can refine the…
"Recent research on texture synthesis for 3D shapes benefits a lot from dramatically developed 2D text-to-image diffusion models, including inpainting-based and optimization-based approaches. However, these methods ignore the modal gap between the 2D diffusion model and 3D objects, which primarily r…
"The misalignment of features caused by pose and viewpoint variances is a crucial problem in Vehicle Re-Identification (ReID). Previous methods align the features by structuring the vehicles from pre-defined vehicle parts (such as logos, lights, windows, etc.) or vehicle attributes, which are ineffi…
Popular rotated detection methods usually use five parameters (coordinates of the central point, width, height, and rotation angle) or eight parameters (coordinates of four vertices) to describe the rotated bounding box and l1 loss as the loss function. In this paper, we argue that the aforementione…