Skip to content
latestai.eulatestai.eu
SC

Scope

by Tencent

Positional encoding method that gives video diffusion transformers precise camera control from an image and camera path.

Available in EUVideo GenerationResearchLibrary

Updated EU status checked Last shown

Scope at a glance

What is Scope?
Scope is a library from Tencent. Positional encoding method that gives video diffusion transformers precise camera control from an image and camera path.
Who makes Scope?
Scope is made by Tencent.
Does Scope work in the EU?
Available in the EU. Reported as an Apache 2.0 open-source code release with no regional restrictions found, so it can be used anywhere including the EU. No hosted service or geo-restriction evidence was found. Last verified 14 Nov 2026.
How much does Scope cost?
Open source, open source. Code reportedly released under Apache 2.0 (per creator coverage); no hosted service identified. Licence: Apache-2.0.
Where was Scope shown?
In 2 creator videos by AI Search. Most recently by AI Search on 16 Aug 2026, at 2:28 in “New Deepseek, GLM 5.3, Grok 4.6, LTX 2.5, Qwen 3.8, Gemini 3.7: AI NEWS”.

Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.

About

SCoPE (Sightline-Coordinate Positional Encoding) is a research method from Tencent-affiliated authors for adding camera control to pretrained video diffusion transformers. Each video token receives its camera ray, derived from the user's camera trajectory, as a second positional coordinate. Ray geometry inside attention helps resolve appearance ambiguity and makes generation follow the target trajectory.

It is applied as a lightweight Normalize–Gate–Inject retrofit that supports both metric and up-to-scale poses and preserves the pretrained RoPE bit-exactly. It adds under 0.1% parameters and is reported to improve controllability and video fidelity at 5B and 14B scales. Creator coverage describes it as built on Wan 2.2 with code released under Apache 2.0.

The project page shows multiple trajectories per scene, WASD-style camera-driven motion of a third-person subject, and results on real captures, in-the-wild footage and stylized artwork. It also reports revisit consistency (returning to a previously seen region keeps it anchored) as an emergent property of the coordinate system rather than an added memory mechanism. It is a research framework rather than a hosted product; the page provided no repository or weights links.

Key features
  • Camera ray as a second positional coordinate per video token
  • Normalize–Gate–Inject retrofit preserving pretrained RoPE bit-exactly
  • Supports metric and up-to-scale camera poses
  • Adds under 0.1% parameters; evaluated at 5B and 14B scales
  • Revisit consistency emerging from the coordinate system
  • Works on real, in-the-wild and stylized input images
2 moments

As seen on YouTube

Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.

Keep exploring

Similar AI tools

Closest neighbours by meaning, not just by category.