ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2312.01689
  4. Cited By
Fast and accurate sparse-view CBCT reconstruction using meta-learned
  neural attenuation field and hash-encoding regularization

Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization

4 December 2023
Heejun Shin
Taehee Kim
Jongho Lee
S. Chun
Seungryung Cho
Dongmyung Shin
ArXivPDFHTML

Papers citing "Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization"

2 / 2 papers shown
Title
FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency
  Regularization
FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
Jiawei Yang
Marco Pavone
Yue Wang
113
267
0
13 Mar 2023
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
1