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pro vyhledávání: '"Lee, DoHae"'
Recent advancements in Text-to-Image (T2I) diffusion models have demonstrated impressive success in generating high-quality images with zero-shot generalization capabilities. Yet, current models struggle to closely adhere to prompt semantics, often m
Externí odkaz:
http://arxiv.org/abs/2312.15964
The most popular type of devices used to track a user's posture in a virtual reality experience consists of a head-mounted display and two controllers held in both hands. However, due to the limited number of tracking sensors (three in total), faithf
Externí odkaz:
http://arxiv.org/abs/2308.15839
Autor:
Lee, Dohae, Lee, In-Kwon
While recent AI-based draping networks have significantly advanced the ability to simulate the appearance of clothes worn by 3D human models, the handling of multi-layered garments remains a challenging task. This paper presents a model for draping m
Externí odkaz:
http://arxiv.org/abs/2304.03492
In this paper, we propose CIMS: a novel correction-interpolation method for smoke simulation. The basis of our method is to first generate a low frame rate smoke simulation, then increase the frame rate using temporal interpolation. However, low fram
Externí odkaz:
http://arxiv.org/abs/2212.14716
Learning the physical dynamics of deformable objects with particle-based representation has been the objective of many computational models in machine learning. While several state-of-the-art models have achieved this objective in simulated environme
Externí odkaz:
http://arxiv.org/abs/2112.03728
Systems whose entities interact with each other are common. In many interacting systems, it is difficult to observe the relations between entities which is the key information for analyzing the system. In recent years, there has been increasing inter
Externí odkaz:
http://arxiv.org/abs/2111.05514
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