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Beyond 3D representations, we must rethink appearance too—textures specifically. UV-maps, the de-facto standard, have inherent flaws: seams, distortions, memory waste, and non-uniform resolution. Can we do better? With Simone Foti, we propose UV3-TeD: 👇

Tolga Birdal

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22,794 次观看 • 1 年前 •via X (Twitter)

教育艺术科学技术

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Tolga Birdal 的头像

Tolga Birdal1 年前

Yet, restricting the texture representation onto the object surface is fundamentally different from generating colored point clouds. We introduce attention-enhanced geodesic heat diffusion along with denoising diffusions (DDPM) to accurately represent and generate textures.👇

Tolga Birdal 的头像

Tolga Birdal1 年前

To handle large collections of potentially non-orientable, non-manifold, disconnected and topologically intricate surfaces, we propose a mixed point-cloud & mesh Laplacian that combines geometric and topological cues to diffuse heat in the presence of complex structures. 👇

Tolga Birdal 的头像

Tolga Birdal1 年前

Eventually, we present a complete framework for texture representation and (geometric and positionally conditioned) generation that integrates point / color sampling, spectral shape description and ray-based rendering, which does not resort to UV-mapping. 👇

Tolga Birdal 的头像

Tolga Birdal1 年前

Even advanced point cloud texturing models like Point-UV Diffusion still rely on UV-maps, somehow. Our UV3-TeD captures features across distant regions, improving upon these models to produce more diverse and semantically meaningful textures on meshes with arbitrary topologies.👇

Tolga Birdal 的头像

Tolga Birdal1 年前

I feel proud to share our first and very pleasurable collaboration, led by @simo_foti. Code is now available: The project page is under: #CVPR #CVML #AI #Graphics

HUDI 的头像

HUDI2 年前

Guess who’s not a fan of data ownership? 😅 When #Zuckerberg gives zero stars, you know the @datamaskwallet app is keeping your data safe from the big tech giants' grasp. 🚫📊 #DataPrivacy #BigTechNemesis art and creative by @Matteo_Frog

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Too many people have accepted Donald Trump’s presidency as "normal." Too many believe there is nothing we can do, and that we simply need to outlast his term. Let me be clear: We cannot endure another 32 months with this mendacious, narcissistic, rapist, want to be dictator who is selling us out to the highest bidder. Not only can we stand up and fight back—we must. Join our campaign so we can take this fight to Congress to impeach, convict, and remove Trump and his cabinet.

Too many people have accepted Donald Trump’s presidency as "normal." Too many believe there is nothing we can do, and that we simply need to outlast his term. Let me be clear: We cannot endure another 32 months with this mendacious, narcissistic, rapist, want to be dictator who is selling us out to the highest bidder. Not only can we stand up and fight back—we must. Join our campaign so we can take this fight to Congress to impeach, convict, and remove Trump and his cabinet.

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An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion discuss: We introduce a new approach for generating realistic 3D models with UV maps through a representation termed "Object Images." This approach encapsulates surface geometry, appearance, and patch structures within a 64x64 pixel image, effectively converting complex 3D shapes into a more manageable 2D format. By doing so, we address the challenges of both geometric and semantic irregularity inherent in polygonal meshes. This method allows us to use image generation models, such as Diffusion Transformers, directly for 3D shape generation. Evaluated on the ABO dataset, our generated shapes with patch structures achieve point cloud FID comparable to recent 3D generative models, while naturally supporting PBR material generation.

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to my beloved jimin... everyday i am thankful that i am able to live in the same period as yu jimin... u shaped so many of our lives and i can only hope that we have made urs better too stay happy and healthy! BEYOND UP WITH KARINA #Chapter25WithKarina

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Islam is not compatible with the West because they do not believe stoning infidels (the non-believers) to death is extreme. They do not believe separating women from men in a mosque is extreme. In order to practice Islam, you must be what the West deems "extreme." But to them, it is not. They tell us. We should believe them. Islam is a culture designed to oppress and conquer. The sooner we wake up to that, the better chance we have at survival.

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Ann embodied something fundamental about this House: the passion and freedom to make our arguments robustly and without fear, and the unique responsibility that we have to the people we represent. The relationship between a Member of Parliament and their constituents is unlike almost anything else. We meet people face to face. We hold surgeries. We go into their homes. If someone is too ill to come and see us, we go and see them. We do so because personal contact with the people we represent is at the heart of our democracy. We must not allow the epitaph of Ann’s terrible murder to be that we withdraw from that responsibility or lose the very thing that makes this place and our democracy so special. But nor can we ignore the increasingly visceral and violent language that is allowed to spread online. The Government, and particularly the Home Secretary, must make it absolutely clear to the social media companies that they have a responsibility to do far more to tackle personal abuse, threats and violent rhetoric. Some of what has been said online following Ann’s murder has been utterly shocking, and we cannot simply pretend that this culture of hatred has no consequences. Ann is not the only Member of Parliament to have been murdered. Jo Cox was murdered. My good friend David Amess was murdered. And the plaques around this Chamber remind us that terrorists have murdered many Members of this House. We must be bold and we must be clear. We will not accept being shut down. We will not accept being prevented from carrying out our duties. And we will not accept being silenced. Because that, I believe, is what Ann would have wanted.

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SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes abs: paper page: Existing methods for the 4D reconstruction of general, non-rigidly deforming objects focus on novel-view synthesis and neglect correspondences. However, time consistency enables advanced downstream tasks like 3D editing, motion analysis, or virtual-asset creation. We propose SceNeRFlow to reconstruct a general, non-rigid scene in a time-consistent manner. Our dynamic-NeRF method takes multi-view RGB videos and background images from static cameras with known camera parameters as input. It then reconstructs the deformations of an estimated canonical model of the geometry and appearance in an online fashion. Since this canonical model is time-invariant, we obtain correspondences even for long-term, long-range motions. We employ neural scene representations to parametrize the components of our method. Like prior dynamic-NeRF methods, we use a backwards deformation model. We find non-trivial adaptations of this model necessary to handle larger motions: We decompose the deformations into a strongly regularized coarse component and a weakly regularized fine component, where the coarse component also extends the deformation field into the space surrounding the object, which enables tracking over time. We show experimentally that, unlike prior work that only handles small motion, our method enables the reconstruction of studio-scale motions.

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76,380 次观看 • 3 年前