把K空间与高斯表示结合，为并行MRI重建开辟新思路，医学影像AI值得关注。
arXiv:2608.00075v1 Announce Type: new Abstract: Accelerated magnetic resonance imaging (MRI) aims to recover the k-space signal from acquired measurem…
事件相机直接生成全景图像？E2Pano提出端到端重建方案，突破高动态场景下的成像限制。
arXiv:2608.00694v1 Announce Type: new Abstract: Event cameras offer microsecond-level temporal resolution and high dynamic range, potentially facilita…
从正电子素三光子衰变切入，用贝叶斯方法重建成像，前沿物理与医学影像的交叉突破。
arXiv:2607.27741v1 Announce Type: cross Abstract: PET provides functional images relying on two-photon coincidences from positron-electron annihilatio…
基于事件相机的合成孔径重建新方法，突破传统成像局限，为高速场景和高动态范围提供创新解决方案。
arXiv:2607.15073v1 Announce Type: cross Abstract: Event cameras report asynchronous polarity events when changes in log--radiance exceed a fixed contr…
扩散模型助力数字乳腺断层合成，解决有限角度重建难题，突破98%未测量空间限制
arXiv:2607.12937v1 Announce Type: cross Abstract: Limited-angle digital breast tomosynthesis (DBT) reconstructs a volume from a few low-dose projectio…
联合处理颜色与偏振图像噪声、马赛克，ICIP2026新网络CPDDNet实现高质量重建。
arXiv:2607.01100v1 Announce Type: new Abstract: Color-polarization imaging using a color-polarization filter array (CPFA) sensor captures both texture…
用引导补丁扩散模型，从单张无滤波器灰度快照重建高光谱图像，开创低成本计算成像新思路
arXiv:2412.02798v3 Announce Type: replace Abstract: We consider the problem of reconstructing a HxWx31 hyperspectral image from a $H\times W$ grayscal…
扩散模型跨界太阳物理：从He I 10830 Å观测反向合成EUV影像，AI改写太阳观测新范式。
arXiv:2606.08652v1 Announce Type: cross Abstract: Routine full-disk EUV imaging has been available only since the modern era, such as SOHO and SDO. To…
从脑信号还原图像的新框架，结合语义与结构双引导，突破传统单一模式限制。
arXiv:2606.00121v1 Announce Type: cross Abstract: Reconstructing visual stimuli from brain recordings has been a meaningful and challenging task in br…
ICML 2026 论文提出基于 Foundation VAE 的统一框架，实现 3D CT 图像高质量重建、数据增强与生成，将推动医学影像 AI 发展。
arXiv:2605.30893v1 Announce Type: new Abstract: Variational autoencoders (VAEs) compress high resolution CT volumes into compact latents while preserv…
稀疏调度扩散引导高效求解图像逆问题，大幅降低采样步数消耗，提升推理速度
arXiv:2603.07860v2 Announce Type: replace Abstract: Pretrained diffusion models are effective priors for Bayesian inverse problems, but posterior samp…
提出一种无需额外数据的自参考早停方法，有效解决Deep Image Prior中的过拟合与退化问题，提升图像重建质量。
arXiv:2605.25299v1 Announce Type: cross Abstract: Recently, Deep Image Prior (DIP) has demonstrated strong capabilities for solving inverse imaging pr…
提出多尺度交互网络，实现双目图像超分辨率，融合左右视图信息提升细节重建效果。
arXiv:2605.21913v1 Announce Type: new Abstract: Stereo image super-resolution aims to generate high-resolution images by leveraging complementary info…
新方法用蒸馏预条件算法求解成像逆问题，专治病态感知矩阵下的数据拟合优化难题。
arXiv:2605.15456v1 Announce Type: cross Abstract: Solving imaging inverse problems has usually been addressed by designing proper prior models of the …