15 papers
FlowHMR: Physically Plausible Motion Capture from Video
Zhanke Wang, Chengfeng Zhao, Qing Shuai +8
We present FlowHMR, a framework for recovering physically plausible global 3D human motion from monocular video. Previous learning-based methods typically regress human motion dire…
AnimateCanvas: Learning Implicit Motion Planning from Composable Kinematic Cues
Zeyu Ling, Di Kang, Qing Shuai +7
Professional character animation requires both natural motion and precise, versatile control. For example, creators often define the timing of a specified action, control the motio…
I Seek You in Videos: Identity-Conditioned Queries for Person-Centric Video Reasoning
Shibo Gao, Chongxiao Wang, Chenglong Huang +10
Real-world video reasoning often involves multimodal, multi-source inputs, whereas existing video reasoning tasks typically assume a simplified video-text setting, limiting identit…
MoRoute: Dynamic Routing for In-Context Multimodal Video Generation
Chong Gao, Jie Ma, Zhan Peng +5
Multimodal video generation aims to generate and edit videos conditioned on arbitrary combinations of text, images, and videos within a single model, allowing diverse tasks to shar…
Home3D 1.0: A High-Fidelity Image-to-3D Asset Generation System for Interior Design
Yiyun Fei, Guoqiu Li, Jin Song +11
We present Home3D 1.0, a modular image-to-3D generation system that produces high-quality 3D assets from a single reference image, targeting interior design and e-commerce applicat…
MoVerse: Real-Time Video World Modeling with Panoramic Gaussian Scaffold
Yang Zhou, Ziheng Wang, Yuqin Lu +4
We present MoVerse, a real-time video world model that creates an interactively navigable scene from a single narrow-field-of-view image. This setting is challenging because the in…
SmartDirector: Keyframe-Conditioned Cinematic Video Generation with Narrative Pacing Control
Zhida Zhang, Jie Ma, Zhan Peng +5
The narrative quality of a video fundamentally determines its perceptual value. Although existing video generation methods can produce visually appealing content, they predominantl…
TOPOS: High-Fidelity and Efficient Industry-Grade 3D Head Generation
Bojun Xiong, Zoubin Bi, Xinghui Peng +6
High-fidelity 3D head generation plays a crucial role in the film, animation and video game industries. In industrial pipelines, studios typically enforce a fixed reference topolog…
MoCam: Unified Novel View Synthesis via Structured Denoising Dynamics
Haofeng Liu, Yang Zhou, Ziheng Wang +6
Generative novel view synthesis faces a fundamental dilemma: geometric priors provide spatial alignment but become sparse and inaccurate under view changes, while appearance priors…
FireRed-Image-Edit-1.0 Technical Report
Super Intelligence Team, Changhao Qiao, Chao Hui +16
We present FireRed-Image-Edit, a diffusion transformer for instruction-based image editing that achieves state-of-the-art performance through systematic optimization of data curati…
MoCha:End-to-End Video Character Replacement without Structural Guidance
Zhengbo Xu, Jie Ma, Ziheng Wang +3
Controllable video character replacement with a user-provided identity remains a challenging problem due to the lack of paired video data. Prior works have predominantly relied on…
Multi-GRPO: Multi-Group Advantage Estimation for Text-to-Image Generation with Tree-Based Trajectories and Multiple Rewards
Qiang Lyu, Zicong Chen, Chongxiao Wang +9
Recently, Group Relative Policy Optimization (GRPO) has shown promising potential for aligning text-to-image (T2I) models, yet existing GRPO-based methods suffer from two critical…
SeamCrafter: Enhancing Mesh Seam Generation for Artist UV Unwrapping via Reinforcement Learning
Duoteng Xu, Yuguang Chen, Jing Li +5
Mesh seams play a pivotal role in partitioning 3D surfaces for UV parametrization and texture mapping. Poorly placed seams often result in severe UV distortion or excessive fragmen…
Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning
Jian Liu, Jing Xu, Song Guo +10
Existing pretrained models for 3D mesh generation often suffer from data biases and produce low-quality results, while global reinforcement learning (RL) methods rely on object-lev…
StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation
Zhengguang Zhou, Jing Li, Huaxia Li +2
Tuning-free personalized image generation methods have achieved significant success in maintaining facial consistency, i.e., identities, even with multiple characters. However, the…