{"slug": "sierpinskicam-camera-controlled-video-retaking-with-sierpinski-triangle-pattern", "title": "SierpinskiCam: Camera-Controlled Video Retaking with Sierpinski Triangle Pattern Cues", "summary": "Researchers propose SierpinskiCam, a method for video retaking that uses Sierpinski triangle pattern cues to improve camera controllability and geometric consistency under large viewpoint changes. The approach augments geometry-based guidance with trackable texture features and introduces a reference video conditioning mechanism, achieving significant gains in video quality across diverse scenarios.", "body_md": "arXiv:2606.17310v1 Announce Type: new\nAbstract: Generating novel renderings of a scene along user-defined camera trajectories from a single monocular video, dubbed video retaking, is a compelling but difficult problem in content creation and visual effects. Existing geometry-guided approaches reconstruct a 4D representation from the source video and render it along the target trajectory to condition video diffusion models. However, this guidance degrades as the target camera departs from the source trajectory, leaving newly revealed regions sparse or entirely missing. We propose SierpinskiCam, which addresses this limitation by augmenting geometry-based guidance with Sierpinski dome texture cues that contains rich trackable features even under large viewpoint changes. We further introduce a reference video conditioning mechanism that appends source-video tokens to the target-token sequence and separates the two streams with negative RoPE indices, enabling appearance grounding without architectural modification or per-video adaptation. Extensive experiments show that SierpinskiCam achieves significant gains in camera controllability, geometric consistency, and video quality across diverse and challenging retaking scenarios. Project page: https://hyelinnam.github.io/SierpinskiCam/.", "url": "https://wpnews.pro/news/sierpinskicam-camera-controlled-video-retaking-with-sierpinski-triangle-pattern", "canonical_source": "https://arxiv.org/abs/2606.17310", "published_at": "2026-06-17 04:00:00+00:00", "updated_at": "2026-06-17 04:25:43.450593+00:00", "lang": "en", "topics": ["computer-vision", "generative-ai", "machine-learning"], "entities": ["SierpinskiCam", "arXiv"], "alternates": {"html": "https://wpnews.pro/news/sierpinskicam-camera-controlled-video-retaking-with-sierpinski-triangle-pattern", "markdown": "https://wpnews.pro/news/sierpinskicam-camera-controlled-video-retaking-with-sierpinski-triangle-pattern.md", "text": "https://wpnews.pro/news/sierpinskicam-camera-controlled-video-retaking-with-sierpinski-triangle-pattern.txt", "jsonld": "https://wpnews.pro/news/sierpinskicam-camera-controlled-video-retaking-with-sierpinski-triangle-pattern.jsonld"}}