Harnessing the Power of Training-Free Techniques in Text-to-2D Generation for Text-to-3D Generation via Score Distillation Sampling

26 May 2025

Papers citing "Harnessing the Power of Training-Free Techniques in Text-to-2D Generation for Text-to-3D Generation via Score Distillation Sampling"

8 / 8 papers shown

Title
Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation Haofeng Liu Chenshu Xu Yifei Yang Lihua Zeng Shengfeng He DiffM 79 25 0 01 Apr 2024
Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance Donghoon Ahn Hyoungwon Cho Jaewon Min Wooseok Jang Jungwoo Kim SeonHwa Kim Hyun Hee Park Kyong Hwan Jin Seungryong Kim DiffM 16 32 0 26 Mar 2024
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures G. Metzer Elad Richardson Or Patashnik Raja Giryes Daniel Cohen-Or DiffM 78 461 0 14 Nov 2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Yogesh Balaji Seungjun Nah Xun Huang Arash Vahdat Jiaming Song ... Timo Aila S. Laine Bryan Catanzaro Tero Karras Xuan Li VLM MoE 98 813 0 02 Nov 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 22 3,786 0 26 Jul 2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models Kamil Deja Anna Kuzina Tomasz Trzciñski Jakub M. Tomczak DiffM 47 27 0 31 May 2022
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 143 3,531 0 20 Dec 2021
Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings Kevin Chen Chris Choy Manolis Savva Angel X. Chang Thomas Funkhouser Silvio Savarese 3DV 37 248 0 22 Mar 2018