Zobrazeno 1 - 10
of 403
pro vyhledávání: '"XIE, YIMING"'
We present Stable Video 4D (SV4D), a latent video diffusion model for multi-frame and multi-view consistent dynamic 3D content generation. Unlike previous methods that rely on separately trained generative models for video generation and novel view s
Externí odkaz:
http://arxiv.org/abs/2407.17470
We introduce a novel Stylized Motion Diffusion model, dubbed SMooDi, to generate stylized motion driven by content texts and style motion sequences. Unlike existing methods that either generate motion of various content or transfer style from one seq
Externí odkaz:
http://arxiv.org/abs/2407.12783
To advance research in learning-based defogging algorithms, various synthetic fog datasets have been developed. However, existing datasets created using the Atmospheric Scattering Model (ASM) or real-time rendering engines often struggle to produce p
Externí odkaz:
http://arxiv.org/abs/2403.17094
We address the problem of generating realistic 3D human-object interactions (HOIs) driven by textual prompts. To this end, we take a modular design and decompose the complex task into simpler sub-tasks. We first develop a dual-branch diffusion model
Externí odkaz:
http://arxiv.org/abs/2312.06553
We present a novel approach named OmniControl for incorporating flexible spatial control signals into a text-conditioned human motion generation model based on the diffusion process. Unlike previous methods that can only control the pelvis trajectory
Externí odkaz:
http://arxiv.org/abs/2310.08580
We present PARQ - a multi-view 3D object detector with transformer and pixel-aligned recurrent queries. Unlike previous works that use learnable features or only encode 3D point positions as queries in the decoder, PARQ leverages appearance-enhanced
Externí odkaz:
http://arxiv.org/abs/2310.01401
We have witnessed significant progress in human-object interaction (HOI) detection. The reliance on mAP (mean Average Precision) scores as a summary metric, however, does not provide sufficient insight into the nuances of model performance (e.g., why
Externí odkaz:
http://arxiv.org/abs/2308.08529
Deep neural networks endow the downsampled superpoints with highly discriminative feature representations. Previous dominant point cloud registration approaches match these feature representations as the first step, e.g., using the Sinkhorn algorithm
Externí odkaz:
http://arxiv.org/abs/2307.01362
We present PlanarRecon -- a novel framework for globally coherent detection and reconstruction of 3D planes from a posed monocular video. Unlike previous works that detect planes in 2D from a single image, PlanarRecon incrementally detects planes in
Externí odkaz:
http://arxiv.org/abs/2206.07710
Publikováno v:
In Applied Catalysis B: Environment and Energy 15 November 2024 357
