koi953215/NaRCan
[NeurIPS 2024] NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing
This tool helps video editors modify the style or content of specific elements within a video while maintaining a natural, consistent look. You provide a video, and it generates an editable "canonical image" that represents the core visual information. After you edit this image (e.g., using AI art tools), the system applies those changes back to your entire video, producing a new, stylized video. It's ideal for visual effects artists, content creators, or animators who need precise control over video aesthetics.
169 stars. No commits in the last 6 months.
Use this if you need to perform advanced stylistic edits or transformations on elements within a video and want to ensure visual consistency across all frames.
Not ideal if you're looking for simple, one-click video filters or basic cuts and transitions, as this tool is for more complex, AI-assisted visual effects workflows.
Stars
169
Forks
8
Language
Python
License
—
Category
Last pushed
Sep 05, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/koi953215/NaRCan"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
UCSC-VLAA/story-iter
[ICLR 2026] A Training-free Iterative Framework for Long Story Visualization
PaddlePaddle/PaddleMIX
Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks,...
keivalya/mini-vla
a minimal, beginner-friendly VLA to show how robot policies can fuse images, text, and states to...
adobe-research/custom-diffusion
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
byliutao/1Prompt1Story
🔥ICLR 2025 (Spotlight) One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation...