Packing Input Frame Context in Next-Frame Prediction Models for Video Generation Paper • 2504.12626 • Published Apr 17 • 51
MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization Paper • 2504.00999 • Published Apr 1 • 92
DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning Paper • 2503.15265 • Published Mar 19 • 47
ReCamMaster: Camera-Controlled Generative Rendering from A Single Video Paper • 2503.11647 • Published Mar 14 • 141
TrajectoryCrafter: Redirecting Camera Trajectory for Monocular Videos via Diffusion Models Paper • 2503.05638 • Published Mar 7 • 19
CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models Paper • 2411.18613 • Published Nov 27, 2024 • 57
DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion Paper • 2411.04928 • Published Nov 7, 2024 • 58
DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion Paper • 2411.04928 • Published Nov 7, 2024 • 58
DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion Paper • 2411.04928 • Published Nov 7, 2024 • 58 • 4
ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model Paper • 2408.16767 • Published Aug 29, 2024 • 33
ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model Paper • 2408.16767 • Published Aug 29, 2024 • 33
An Image is Worth 32 Tokens for Reconstruction and Generation Paper • 2406.07550 • Published Jun 11, 2024 • 60