HN · GitHub Signals

OPEN SOURCE, IN FOCUS

padcaptioner

showlab/padcaptioner

[ECCV 2026] Parallelized Autoregressive Decoding for Omni-Modal Dense Video Captioning

Explore on GitHub ↗

Saved projects stay in this browser. No account needed.

TAKE A CLOSER LOOK

Start with the source.

The repository is the place to check installation steps, supported platforms, the license, and current maintenance before choosing a tool.

Read the documentation on GitHub ↗

Keep exploring

Find projects in the same areas, or search the archive for a different approach.

ANOTHER GOOD FIND

Explore related projects

View the archive ↗

Connected by topics and descriptions.

cvg

vidmap

VidMap: Exploiting Temporal Structure for Video-Based Structure-from-Motion (ECCV 2026)

Take a look →
facebookresearch

moe_vie

Official code release for "MoE-ViE Mixture of Experts Vision Encoder for Efficient Image and Video Understanding" (ECCV 2026)

Take a look →
filippawlicki

nanovsr

Real-time video super-resolution on edge devices - official PyTorch implementation (Accepted to ECCV 2026)

Take a look →
harryhsing

omniagent

OmniAgent (ICML 2026): the first native omni-modal agent for active video perception — a 7B agent that beats Qwen2.5-VL-72B with 73% fewer frames.

Take a look →