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DachunKai/EvTexture

[ICML 2024 & TPAMI 2026] EvTexture & EvTexture++: Event-Driven Texture Enhancement for Video Super-Resolution observed · 2026-08-28

github.com/DachunKai/EvTexture · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

54/100

  • Activity 87
  • Release rhythm 8
  • Longevity 59
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 837
  • days_rel: n/a
  • days_push: 83
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1207 stars · 76 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official PyTorch implementation of EvTexture and EvTexture++, event-driven video super-resolution models that use event-camera signals to enhance texture details. Published at ICML 2024 with a TPAMI 2026 journal extension, it includes pretrained models, datasets, and a Colab demo.

Use cases

  • upscale low-resolution videos 4x with sharper textures
  • use event camera data for video super-resolution
  • reproduce state-of-the-art VSR results on Vid4 and REDS
  • restore blurry texture regions in video frames
  • research event-based vision for video restoration

When to choose

  • you have event-camera streams alongside RGB video
  • you need research-grade VSR with pretrained models
  • texture fidelity matters more than speed

When to avoid

  • you only have standard RGB video without event data
  • you need a production-ready end-user application
  • you lack a GPU for inference

Facets

library · maturity active

machine-learning deep-learning image-processing video-processing computer-vision deep-learning image-processing python video-super-resolution event-camera pytorch video-restoration research-code computational-photography video gpu linux docker

2 sources

Member repositories

RepositoryRoleHealth v2
DachunKai/EvTexturemain54

For agents

markdown · JSON · MCP: product_card(name="DachunKai/EvTexture")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem