FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation Paper • 2506.01144 • Published Jun 1, 2025 • 15
FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation Paper • 2506.01144 • Published Jun 1, 2025 • 15
FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation Paper • 2506.01144 • Published Jun 1, 2025 • 15 • 2
Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning Paper • 2505.17813 • Published May 23, 2025 • 58
DynVFX: Augmenting Real Videos with Dynamic Content Paper • 2502.03621 • Published Feb 5, 2025 • 31 • 3
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Paper • 2502.02492 • Published Feb 4, 2025 • 66
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Paper • 2502.02492 • Published Feb 4, 2025 • 66 • 8
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers Paper • 2103.15679 • Published Mar 29, 2021
Transformer Interpretability Beyond Attention Visualization Paper • 2012.09838 • Published Dec 17, 2020 • 1
Still-Moving: Customized Video Generation without Customized Video Data Paper • 2407.08674 • Published Jul 11, 2024 • 13
Lumiere: A Space-Time Diffusion Model for Video Generation Paper • 2401.12945 • Published Jan 23, 2024 • 87
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models Paper • 2301.13826 • Published Jan 31, 2023 • 1