6 papers
Determinism of Randomness: Prompt-Residual Seed Shaping for Diffusion Generation
Song Yan, Wei Zhai, Chenfeng Wang +9
Diffusion models start generation from an isotropic Gaussian latent, yet changing only the random seed can lead to large differences in prompt faithfulness, composition, and visual…
Evaluating quality metrics through the lenses of psychophysical measurements of low-level vision
Dounia Hammou, Yancheng Cai, Pavan Madhusudanarao +2
Image and video quality metrics, such as SSIM, LPIPS, and VMAF, aim to predict perceived visual quality and are often assumed to reflect principles of human vision. However, relati…
M^3ashy: Multi-Modal Material Synthesis via Hyperdiffusion
Chenliang Zhou, Zheyuan Hu, Alejandro Sztrajman +3
High-quality material synthesis is essential for replicating complex surface properties to create realistic scenes. Despite advances in the generation of material appearance based…
CameraVDP: Perceptual Display Assessment with Uncertainty Estimation via Camera and Visual Difference Prediction
Yancheng Cai, Robert Wanat, Rafal Mantiuk
Accurate measurement of images produced by electronic displays is critical for the evaluation of both traditional and computational displays. Traditional display measurement method…
elaTCSF: A Temporal Contrast Sensitivity Function for Flicker Detection and Modeling Variable Refresh Rate Flicker
Yancheng Cai, Ali Bozorgian, Maliha Ashraf +2
The perception of flicker has been a prominent concern in illumination and electronic display fields for over a century. Traditional approaches often rely on Critical Flicker Frequ…
Do computer vision foundation models learn the low-level characteristics of the human visual system?
Yancheng Cai, Fei Yin, Dounia Hammou +1
Computer vision foundation models, such as DINO or OpenCLIP, are trained in a self-supervised manner on large image datasets. Analogously, substantial evidence suggests that the hu…