作者: 打包 時(shí)間: 2025-3-21 21:01 作者: 聯(lián)想記憶 時(shí)間: 2025-3-22 01:37 作者: 橡子 時(shí)間: 2025-3-22 07:40
,Designing One Unified Framework for?High-Fidelity Face Reenactment and?Swapping,and practical-unfriendly. In this paper, we propose an effective end-to-end unified framework to achieve both tasks. Unlike existing methods that directly utilize pre-estimated structures and do not fully exploit their potential similarity, our model sufficiently transfers identity and attribute bas作者: covert 時(shí)間: 2025-3-22 11:39
,Sobolev Training for?Implicit Neural Representations with?Approximated Image Derivatives, kinds of signals due to its continuous, differentiable properties, showing superiorities to classical discretized representations. However, the training of neural networks for INRs only utilizes input-output pairs, and the derivatives of the target output with respect to the input, which can be acc作者: Intercept 時(shí)間: 2025-3-22 15:40 作者: Intercept 時(shí)間: 2025-3-22 20:43 作者: 假設(shè) 時(shí)間: 2025-3-23 00:30 作者: 到婚嫁年齡 時(shí)間: 2025-3-23 01:42
Deep Bayesian Video Frame Interpolation,part. Our approach learns posterior distributions of optical flows and frames to be interpolated, which is optimized via learned gradient descent for fast convergence. Each learned step is a lightweight network manipulating gradients of the log-likelihood of estimated frames and flows. Such gradient作者: novelty 時(shí)間: 2025-3-23 07:50
,Cross Attention Based Style Distribution for?Controllable Person Image Synthesis,e propose a cross attention based style distribution module that computes between the source semantic styles and target pose for pose transfer. The module intentionally selects the style represented by each semantic and distributes them according to the target pose. The attention matrix in cross att作者: SHOCK 時(shí)間: 2025-3-23 13:31
KeypointNeRF: Generalizing Image-Based Volumetric Avatars Using Relative Spatial Encoding of Keypoiencodings and multi-view geometric consistency to reduce spatial ambiguity. However, global encodings often suffer from overfitting to the distribution of the training data, and it is difficult to learn multi-view consistent reconstruction from sparse views. In this work, we investigate common issue作者: 態(tài)學(xué) 時(shí)間: 2025-3-23 16:55
,ViewFormer: NeRF-Free Neural Rendering from?Few Images Using Transformers,ly covering a scene or an object. The goal is to predict novel viewpoints in the scene, which requires learning priors. The current state of the art is based on Neural Radiance Field (NeRF), and while achieving impressive results, the methods suffer from long training times as they require evaluatin作者: 陶瓷 時(shí)間: 2025-3-23 18:55 作者: Aesthete 時(shí)間: 2025-3-24 01:22
Conference proceedings 2022ning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..作者: Cursory 時(shí)間: 2025-3-24 03:07 作者: inconceivable 時(shí)間: 2025-3-24 08:20 作者: vibrant 時(shí)間: 2025-3-24 10:56 作者: 惰性女人 時(shí)間: 2025-3-24 16:43
Can Arms Races Lead to the Outbreak of War?he training paradigm can be leveraged to solve typical INRs problems, i.e., image regression and inverse rendering, and demonstrate this training paradigm can improve the data-efficiency and generalization capabilities of INRs. The code of our method is available at ..作者: immunity 時(shí)間: 2025-3-24 21:33
The Ecological System of the Barents Sea,onal cost. Besides, MCT is a plug-in approach that utilizes existing base models and requires only replacing their output layers. Experiments demonstrate that the MCT variants can process 4K images in real-time and achieve comparable or even better performance than the base models on various photorealistic image-to-image translation tasks.作者: 細(xì)微差別 時(shí)間: 2025-3-24 23:56 作者: 面包屑 時(shí)間: 2025-3-25 05:33 作者: confederacy 時(shí)間: 2025-3-25 11:09 作者: Limousine 時(shí)間: 2025-3-25 15:17 作者: induct 時(shí)間: 2025-3-25 19:07
,Multi-Curve Translator for?High-Resolution Photorealistic Image Translation,onal cost. Besides, MCT is a plug-in approach that utilizes existing base models and requires only replacing their output layers. Experiments demonstrate that the MCT variants can process 4K images in real-time and achieve comparable or even better performance than the base models on various photorealistic image-to-image translation tasks.作者: Climate 時(shí)間: 2025-3-25 21:27
,Cross Attention Based Style Distribution for?Controllable Person Image Synthesis,ode the source appearance accurately, the self attention among different semantic styles is also added. The effectiveness of our model is validated quantitatively and qualitatively on pose transfer and virtual try-on tasks. Codes are available at ..作者: nerve-sparing 時(shí)間: 2025-3-26 04:08 作者: 修改 時(shí)間: 2025-3-26 04:33 作者: Aggregate 時(shí)間: 2025-3-26 09:38
Deep Bayesian Video Frame Interpolation, the input observations. With this approach we show new records on 8 of 10 benchmarks, using an architecture with half the parameters of the state-of-the-art model. Code and models are publicly available at ..作者: 抒情短詩 時(shí)間: 2025-3-26 15:08
https://doi.org/10.1007/978-1-349-08919-2s. However, previous approaches struggle to synthesize high-frequency signals with fine details, deteriorating the synthesis quality. To address this, we propose WaveGAN, a frequency-aware model for few-shot image generation. Concretely, we disentangle encoded features into multiple frequency compon作者: 沒有希望 時(shí)間: 2025-3-26 17:14
Can Arms Races Lead to the Outbreak of War? from prior works, we solve this problem by learning a conditional probability distribution of the edits, . in code space. Training such a model requires addressing the lack of example edits for training. To this end, we propose a self-supervised approach that simulates edits by augmenting off-the-s作者: 衰老 時(shí)間: 2025-3-26 21:15 作者: animated 時(shí)間: 2025-3-27 03:42
https://doi.org/10.1007/978-1-349-08919-2and practical-unfriendly. In this paper, we propose an effective end-to-end unified framework to achieve both tasks. Unlike existing methods that directly utilize pre-estimated structures and do not fully exploit their potential similarity, our model sufficiently transfers identity and attribute bas作者: 銼屑 時(shí)間: 2025-3-27 07:38
Can Arms Races Lead to the Outbreak of War? kinds of signals due to its continuous, differentiable properties, showing superiorities to classical discretized representations. However, the training of neural networks for INRs only utilizes input-output pairs, and the derivatives of the target output with respect to the input, which can be acc作者: 離開可分裂 時(shí)間: 2025-3-27 10:28
The Political Economy of Formula One,ncrementally improved the generated image fidelity and text relevancy, several pivotal gaps remain unanswered, limiting applicability and quality. We propose a novel text-to-image method that addresses these gaps by (i) enabling a simple control mechanism complementary to text in the form of a scene作者: Deadpan 時(shí)間: 2025-3-27 15:57
The Political Economy of Formula One, challenging to manipulate existing face images with precise 3D control. While concatenating GAN inversion and a 3D-aware, noise-to-image GAN is a straight-forward solution, it is inefficient and may lead to noticeable drop in editing quality. To fill this gap, we propose 3D-FM GAN, a novel conditio作者: Dislocation 時(shí)間: 2025-3-27 18:34 作者: 記憶法 時(shí)間: 2025-3-27 22:24
The Economics of Multispecies Harvestingpart. Our approach learns posterior distributions of optical flows and frames to be interpolated, which is optimized via learned gradient descent for fast convergence. Each learned step is a lightweight network manipulating gradients of the log-likelihood of estimated frames and flows. Such gradient作者: opportune 時(shí)間: 2025-3-28 02:25
,Children’s Media Use and Homework Time,e propose a cross attention based style distribution module that computes between the source semantic styles and target pose for pose transfer. The module intentionally selects the style represented by each semantic and distributes them according to the target pose. The attention matrix in cross att作者: 壓倒 時(shí)間: 2025-3-28 06:15
Charlene M. Kalenkoski,Gigi Fosterencodings and multi-view geometric consistency to reduce spatial ambiguity. However, global encodings often suffer from overfitting to the distribution of the training data, and it is difficult to learn multi-view consistent reconstruction from sparse views. In this work, we investigate common issue作者: 言行自由 時(shí)間: 2025-3-28 11:16 作者: sed-rate 時(shí)間: 2025-3-28 15:30
Computer Vision – ECCV 2022978-3-031-19784-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: commute 時(shí)間: 2025-3-28 21:49
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234253.jpg作者: BIDE 時(shí)間: 2025-3-29 01:27
https://doi.org/10.1007/978-3-031-19784-0artificial intelligence; color images; computer networks; computer vision; face recognition; image coding作者: 捏造 時(shí)間: 2025-3-29 04:50 作者: 極少 時(shí)間: 2025-3-29 08:18
https://doi.org/10.1007/978-1-349-08919-2ss and advancement of our method on three datasets. Noticeably, we achieve new state-of-the-art with FID 42.17, LPIPS 0.3868, FID 30.35, LPIPS 0.5076, and FID 4.96, LPIPS 0.3822 respectively on Flower, Animal Faces, and VGGFace. GitHub: ..作者: Antagonism 時(shí)間: 2025-3-29 12:24
The Economics of Military Expendituresan still reuse the prior knowledge learned by GANs for various downstream applications. Beyond the editing tasks explored in prior arts, our approach allows a more flexible image manipulation, such as the separate control of face contour and facial details, and enables a novel editing manner where u作者: 痛得哭了 時(shí)間: 2025-3-29 17:14 作者: glisten 時(shí)間: 2025-3-29 22:44
The Political Economy of Formula One,rategies and a novel multiplicative co-modulation architecture that improves significantly upon naive schemes. With extensive evaluations, we show that our method outperforms the prior arts on various tasks, with better editability, stronger identity preservation, and higher photo-realism. In additi作者: Mendacious 時(shí)間: 2025-3-30 03:36
Charlene M. Kalenkoski,Gigi Foster also achieve performance comparable to prior work that uses a parametric human body model and temporal feature aggregation. Our experiments show that a majority of errors in prior work stem from an inappropriate choice of spatial encoding and thus we suggest a new direction for high-fidelity image-
