43 citations · 134 across the 14 of their papers we have counts for
14 papers · 1 filter
Stable-Layers: Fine-Tuning Image Layer Decomposition Models with VLM-Scored Reinforcement Learning
Ciara Rowles, Reshinth Adithyan, Nikhil Pinnaparaju +2
We present Stable-Layers, a reinforcement learning framework that eliminates the need for paired supervision by fine-tuning a pretrained layer decomposition model using only feedba…
Stable Video-Driven Portraits
Mallikarjun B. R., Fei Yin, Vikram Voleti +4
Portrait animation aims to generate photo-realistic videos from a single source image by reenacting the expression and pose from a driving video. While early methods relied on 3D m…
Stable Virtual Camera: Generative View Synthesis with Diffusion Models
Jensen Zhou, Hang Gao, Vikram Voleti +6
We present Stable Virtual Camera (Seva), a generalist diffusion model that creates novel views of a scene, given any number of input views and target cameras. Existing works strugg…
SV4D 2.0: Enhancing Spatio-Temporal Consistency in Multi-View Video Diffusion for High-Quality 4D Generation
Chun-Han Yao, Yiming Xie, Vikram Voleti +2
We present Stable Video 4D 2.0 (SV4D 2.0), a multi-view video diffusion model for dynamic 3D asset generation. Compared to its predecessor SV4D, SV4D 2.0 is more robust to occlusio…
SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency
Yiming Xie, Chun-Han Yao, Vikram Voleti +2
We present Stable Video 4D (SV4D), a latent video diffusion model for multi-frame and multi-view consistent dynamic 3D content generation. Unlike previous methods that rely on sepa…
HouseCrafter: Lifting Floorplans to 3D Scenes with 2D Diffusion Model
Hieu T. Nguyen, Yiwen Chen, Vikram Voleti +2
We introduce HouseCrafter, a novel approach that can lift a floorplan into a complete large 3D indoor scene (e.g., a house). Our key insight is to adapt a 2D diffusion model, which…