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cs.CV2026
WAVE: Reversing the Guidance Hierarchy for Coarse-to-Fine Guided Depth Super-Resolution
Tayyab Nasir, Daochang Liu, Ajmal Mian
Guided depth super-resolution (GDSR) typically extracts RGB guidance features through convolutional hierarchies, inheriting their fine-to-coarse bias. Thus, low-level spatial cues…
cs.CV2024
Learning Coherent Matrixized Representation in Latent Space for Volumetric 4D Generation
Qitong Yang, Mingtao Feng, Zijie Wu +4
Directly learning to model 4D content, including shape, color, and motion, is challenging. Existing methods rely on pose priors for motion control, resulting in limited motion dive…