RealMe
[SIGGRAPH Asia 2026] RealMe: Immersive Volumetric Video from Minimal Captures
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GITHUB · launched Oct 22, 2026 · 30 upvotes (top 47%)
- Media & entertainment
- Content generation
- Developer
- AI-native
- Hobby / open-source project
- 4d-gaussian-splatting
- 4d-reconstruction
- sparse-view-reconstruction
- super-resolution
- video-model
- volumetric-video
Similar launches
See all 2199 similar launches →Could you build this?
No This is SIGGRAPH research on diffusion-based 4D volumetric video reconstruction from sparse multi-view captures. The novel model architecture and the self-captured dataset require research-level expertise and capture hardware.
What it would actually take: Reproducing it needs a multi-view capture rig and dataset, a 4D Gaussian or neural scene representation, and a fine-tuned high-resolution video diffusion model with ControlNet-style conditioning. This demands graphics and generative-model research expertise plus substantial GPU compute for training and optimization.
Competitors
Other products that read as similar to this one : 2199 launches clear the similarity bar, closest 8 shown.
Attention rank: #1031 of 2200 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 356 days after the earliest competitor.
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- VGGT-Diff · github · 2026-09-27 · 49 upvotes · similarity 0.62
- Seedance 2.0 · hn · 2026-02-13 · 5 upvotes · similarity 0.61
- toyxyz_RGBMocap · github · 2026-10-26 · 323 upvotes · similarity 0.61
- kandinsky-6-sr · github · 2026-10-05 · 15 upvotes · similarity 0.61
- World-from-Motion · github · 2026-10-15 · 17 upvotes · similarity 0.60
- video-diffusion-avatars · github · 2026-10-16 · 24 upvotes · similarity 0.60
Other launches for this product
- No other launches for this product.