Hugging Face Trending Papers
ZoomDiff: A High-Fidelity Diffusion Model for Dual-Camera Smooth Zooming
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arXiv Computer Vision
Sep 24
ZoomDiff: A High-Fidelity Diffusion Model for Dual-Camera Smooth Zooming
ZoomDiff is a high‑fidelity diffusion model designed to improve dual‑camera smooth zooming by producing photo‑realistic transitions. It strengthens dual‑image conditional guidance during denoising, injects flow‑aligned multi‑scale features from the VAE encoder into the decoder to recover high‑frequency details, and uses flow‑guided temporal consistency supervision to ensure smoother transitions. Experiments on synthetic and real‑world datasets show that ZoomDiff outperforms state‑of‑the‑art methods both quantitatively and qualitatively.
arXiv Computer Vision
Sep 15
UniE2F: A Unified Diffusion Framework for Event-to-Frame Reconstruction with Video Foundation Models
arXiv:2602.19202v3 Announce Type: replace Abstract: Event cameras excel at high-speed, low-power, and high-dynamic-range scene perception. However, as they fundamentally record only relative intensit...
arXiv AI
Aug 7
In-Context Forcing: Uncovering Context Effects in Autoregressive Video Diffusion
arXiv:2608. 05237v1 Announce Type: cross Abstract: Current few-step autoregressive video diffusion models depend on previous fully denoised clean frames as context for all denoising steps of the current frame.
arXiv AI
Jul 14
FlowPainter: Inpainting Optical Flow via Confidence-Guided Completion
arXiv:2607. 10140v1 Announce Type: cross Abstract: Existing optical flow methods broadly follow two paradigms: iterative optimization and diffusion-based estimation.
arXiv AI
Aug 18
FrescoDiffusion: 4K Image-to-Video with Prior-Regularized Tiled Diffusion
arXiv:2603. 17555v2 Announce Type: replace-cross Abstract: Diffusion-based image-to-video (I2V) models are increasingly effective, yet they struggle to scale to ultra-high-resolution inputs (e.
arXiv Machine Learning
Sep 22
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models
arXiv:2411.05005v2 Announce Type: replace-cross Abstract: Beyond high-fidelity image synthesis, diffusion models have recently exhibited promising results in dense visual perception tasks. However, m...