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Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image
  Synthesis

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

17 January 2024
Jonghyun Lee
Hansam Cho
Youngjoon Yoo
Seoung Bum Kim
Yonghyun Jeong
    DiffM
ArXivPDFHTML

Papers citing "Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis"

4 / 4 papers shown
Title
SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data
SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data
Liang Shi
Boyu Jiang
Zhenyuan Yuan
Miguel A. Perez
Feng Guo
34
0
0
06 May 2025
Improving Editability in Image Generation with Layer-wise Memory
Improving Editability in Image Generation with Layer-wise Memory
Daneul Kim
Jaeah Lee
Jaesik Park
DiffM
KELM
60
0
0
02 May 2025
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image
  Generation
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation
Yuval Kirstain
Adam Polyak
Uriel Singer
Shahbuland Matiana
Joe Penna
Omer Levy
EGVM
168
352
0
02 May 2023
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
336
75,888
0
18 May 2015
1