C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds

15 December 2019

Papers citing "C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds"

8 / 8 papers shown

Title
Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting Zhiqi Li Yiming Chen Lingzhe Zhao Peidong Liu DiffM 3DGS 56 17 0 15 Mar 2024
DTA: Distribution Transform-based Attack for Query-Limited Scenario Renyang Liu Wei Zhou Xin Jin Song Gao Yuanyu Wang Ruxin Wang 16 0 0 12 Dec 2023
DefGoalNet: Contextual Goal Learning from Demonstrations For Deformable Object Manipulation Bao Thach Tanner Watts S. Ho Tucker Hermans Alan Kuntz 26 0 0 25 Sep 2023
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 29 28 0 19 Jul 2022
Conditional Injective Flows for Bayesian Imaging AmirEhsan Khorashadizadeh K. Kothari Leonardo Salsi Ali Aghababaei Harandi Maarten V. de Hoop Ivan Dokmanić MedIm 16 16 0 15 Apr 2022
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation Aditya Sanghi Hang Chu Joseph G. Lambourne Ye Wang Chin-Yi Cheng Marco Fumero Kamal Rahimi Malekshan CLIP 33 287 0 06 Oct 2021
Low-Light Image Enhancement with Normalizing Flow Yufei Wang Renjie Wan Wenhan Yang Haoliang Li Lap-Pui Chau Alex C. Kot 89 351 0 13 Sep 2021
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 164 1,926 0 24 Oct 2016