VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Haoxin Chen, Yong Zhang, Xiaodong Cun, Menghan Xia, Xintao Wang, Chao Weng, Ying Shan
2024Year
294Top-tier citations
Abstract
In cyberpunk, neonpunk style, Kung Fu Panda, jump and kick.
Cinematic photo melting pistachio ice cream dripping down the cone. 35mm photograph, film, bokeh.
Large motion, surrounded by butterflies, a girl walks through a lush garden.
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Cited by top-tier papers294
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- FIFO-Diffusion: Generating Infinite Videos from Text without TrainingJihwan Kim, Junoh Kang, Jinyoung Choi, Bohyung HanNeurIPS 2024 · 156 citations
- VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video GenerationHritik Bansal, Clark Peng, Yonatan Bitton, Roman Goldenberg et al.ICLR 2026 · 146 citations
Builds on30
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 35,902 citations
- LoRA: Low-Rank Adaptation of Large Language ModelsEdward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu et al.ICLR 2022 · 18,833 citations
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser et al.CVPR 2022 · 13,123 citations
- Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena, Lala Li et al.NeurIPS 2022 · 8,965 citations
- GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion ModelsAlexander Quinn Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam et al.ICML 2022 · 4,691 citations
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