抛物线
发表于 2025-3-25 03:21:34
,Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats,e real-world experiments, we demonstrate our method, Flash-Splat, accurately reconstructs both transmitted and reflected scenes in 3D. Our method outperforms existing 3D reflection separation methods, which do not leverage illumination control, by a large margin.
Accede
发表于 2025-3-25 08:09:39
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慷慨援助
发表于 2025-3-25 13:47:59
0302-9743 reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation..978-3-031-73006-1978-3-031-73007-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
暴发户
发表于 2025-3-25 18:34:10
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grenade
发表于 2025-3-25 22:15:07
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轻快带来危险
发表于 2025-3-26 01:51:34
https://doi.org/10.1007/978-3-319-01119-6in improved image quality. Remarkably, by combining the weights of models trained with efficient LoRA and full training, we achieve a new state-of-the-art one-step diffusion model, achieving an FID of 8.14 and surpassing all GAN-based and multi-step Stable Diffusion models.
仲裁者
发表于 2025-3-26 06:06:12
Karen Insa Wolf,Stefan Goetze,Frank Wallhoffmodel benchmarks demonstrate that DiffSurf can generate shapes with greater diversity and higher quality than previous generative models. Furthermore, when applied to the task of single-image 3D human mesh recovery, DiffSurf achieves accuracy comparable to prior techniques at a near real-time rate.
BLOT
发表于 2025-3-26 10:44:06
SwiftBrush V2: Make Your One-Step Diffusion Model Better Than Its Teacher,in improved image quality. Remarkably, by combining the weights of models trained with efficient LoRA and full training, we achieve a new state-of-the-art one-step diffusion model, achieving an FID of 8.14 and surpassing all GAN-based and multi-step Stable Diffusion models.
Ballad
发表于 2025-3-26 15:07:31
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neolith
发表于 2025-3-26 19:31:33
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