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Taming Mode Collapse in Score Distillation for Text-to-3D Generation

Taming Mode Collapse in Score Distillation for Text-to-3D Generation

31 December 2023
Peihao Wang
Dejia Xu
Zhiwen Fan
Dilin Wang
Sreyas Mohan
Forrest N. Iandola
Rakesh Ranjan
Yilei Li
Qiang Liu
Zhangyang Wang
Vikas Chandra
    DiffM
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Papers citing "Taming Mode Collapse in Score Distillation for Text-to-3D Generation"

24 / 24 papers shown
Title
RewardSDS: Aligning Score Distillation via Reward-Weighted Sampling
Itay Chachy
Guy Yariv
Sagie Benaim
377
0
0
12 Mar 2025
Mean-Shift Distillation for Diffusion Mode Seeking
Mean-Shift Distillation for Diffusion Mode Seeking
Vikas Thamizharasan
Nikitas Chatzis
Iliyan Georgiev
Matthew Fisher
Difan Liu
Nanxuan Zhao
E. Kalogerakis
Michal Lukac
DiffM
80
0
0
21 Feb 2025
Interacting Large Language Model Agents. Interpretable Models and Social Learning
Interacting Large Language Model Agents. Interpretable Models and Social Learning
Adit Jain
Vikram Krishnamurthy
LLMAG
72
0
0
02 Nov 2024
GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation
GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation
Tong Wu
Guandao Yang
Zhibing Li
Kai Zhang
Ziwei Liu
Leonidas Guibas
Dahua Lin
Gordon Wetzstein
EGVM
VGen
56
90
0
08 Jan 2024
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
Yiwen Chen
Chi Zhang
Xiaofeng Yang
Zhongang Cai
Gang Yu
Lei Yang
Guo-Shing Lin
DiffM
51
62
0
22 Aug 2023
ATT3D: Amortized Text-to-3D Object Synthesis
ATT3D: Amortized Text-to-3D Object Synthesis
Jonathan Lorraine
Kevin Xie
Fangyin Wei
Chen-Hsuan Lin
Towaki Takikawa
Nicholas Sharp
Nayeon Lee
Xuan Li
Sanja Fidler
James Lucas
DiffM
70
87
0
06 Jun 2023
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Giannis Daras
Kulin Shah
Y. Dagan
Aravind Gollakota
A. Dimakis
Adam R. Klivans
DiffM
79
71
0
30 May 2023
Fantasia3D: Disentangling Geometry and Appearance for High-quality
  Text-to-3D Content Creation
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation
Rui Chen
Yuxiao Chen
Ningxin Jiao
Kui Jia
DiffM
79
580
0
24 Mar 2023
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
G. Metzer
Elad Richardson
Or Patashnik
Raja Giryes
Daniel Cohen-Or
DiffM
105
464
0
14 Nov 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
102
3,830
0
26 Jul 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLM
DiffM
305
6,768
0
13 Apr 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller
Alex Evans
Christoph Schied
A. Keller
272
3,970
0
16 Jan 2022
GLIDE: Towards Photorealistic Image Generation and Editing with
  Text-Guided Diffusion Models
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol
Prafulla Dhariwal
Aditya A. Ramesh
Pranav Shyam
Pamela Mishkin
Bob McGrew
Ilya Sutskever
Mark Chen
258
3,552
0
20 Dec 2021
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
Can Wang
Menglei Chai
Mingming He
Dongdong Chen
Jing Liao
CLIP
95
383
0
09 Dec 2021
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D
  Shape Synthesis
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
Tianchang Shen
Jun Gao
K. Yin
Xuan Li
Sanja Fidler
3DV
66
460
0
08 Nov 2021
Vision Transformers for Dense Prediction
Vision Transformers for Dense Prediction
René Ranftl
Alexey Bochkovskiy
V. Koltun
ViT
MDE
117
1,696
0
24 Mar 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
334
4,873
0
24 Feb 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
277
6,293
0
26 Nov 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
Katja Schwarz
Yiyi Liao
Michael Niemeyer
Andreas Geiger
VGen
125
868
0
05 Jul 2020
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDa
DiffM
191
3,803
0
12 Jul 2019
Sliced Score Matching: A Scalable Approach to Density and Score
  Estimation
Sliced Score Matching: A Scalable Approach to Density and Score Estimation
Yang Song
Sahaj Garg
Jiaxin Shi
Stefano Ermon
78
409
0
17 May 2019
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational
  Learning
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Akash Srivastava
Lazar Valkov
Chris Russell
Michael U. Gutmann
Charles Sutton
SyDa
GAN
60
677
0
22 May 2017
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
93
1,002
0
07 Nov 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
429
8,999
0
10 Jun 2016
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