8 Sep 2026
Monocular depth estimation is a ubiquitous yet highly ill-posed computer vision task, with downstream applications in scene reconstruction, computational photography, and robotics, among others.
Trending research and the full catalog - each paper linked to the benchmarks, methods, and models it introduces.
Filtering here covers the 2,000 most recent papers, as much as one page can hold in memory. See the full index of 22,347 papers.
8 Sep 2026
Monocular depth estimation is a ubiquitous yet highly ill-posed computer vision task, with downstream applications in scene reconstruction, computational photography, and robotics, among others.
Lei Sun, Xiangxiang Chu, Meng Yu et al. · 17 Apr 2026
Diffusion probabilistic models suffer from SNR-timestep bias during inference, which is addressed through a differential correction method that processes frequency components separately, improving generation quality across multiple models with minimal computational cost.
25 Jun 2026
Modern image generation demands a single model that unifies diverse capabilities, including text-to-image (T2I), local editing, and global editing. However, these capabilities are rarely naturally aligned and often conflict.