9 citations · 9 across the 17 of their papers we have counts for
16 papers · 1 filter
ZipTok3D: High-Fidelity 3D Tokenization with Compact Token Prefixes
Mingda Lin, Weijie Wang, Zeyu Zhang +7
Compact token sequences are essential for efficient 3D generation. However, existing 3D tokenizers typically organize latent representations either over spatial regions or as fixed…
Block3D: Efficient Text-to-3D Generation via Block-Wise Diffusion
Bowen Cui, Weijie Wang, Zeyu Zhang +7
While text-to-3D generation has advanced rapidly, achieving high geometric fidelity at low inference cost remains challenging. Existing text-to-3D methods either decode discrete sh…
Latent Spatial Memory for Video World Models
Weijie Wang, Haoyu Zhao, Yifan Yang +7
Video world models that maintain 3D spatial consistency across generated frames typically rely on explicit point cloud memory constructed in RGB space. This design is both computat…
CameraNoise: Enabling Faithful Camera Control in Video Diffusion through Geometry-Flow-Guided Noise Warping
Haoyu Zhao, Jiaxi Gu, Haoran Chen +11
Precise camera pose control is critical for video diffusion, yet maintaining geometric consistency remains a challenge. Existing methods that directly inject numerical camera param…
DCDM: Divide-and-Conquer Diffusion Models for Consistency-Preserving Video Generation
Haoyu Zhao, Yuang Zhang, Junqi Cheng +5
Recent video generative models have demonstrated impressive visual fidelity, yet they often struggle with semantic, geometric, and identity consistency. In this paper, we propose a…
CoV: Chain-of-View Prompting for Spatial Reasoning
Haoyu Zhao, Akide Liu, Zeyu Zhang +5
Embodied question answering (EQA) in 3D environments often requires collecting context that is distributed across multiple viewpoints and partially occluded. However, most recent v…
Repeating Words for Video-Language Retrieval with Coarse-to-Fine Objectives
Haoyu Zhao, Jiaxi Gu, Shicong Wang +4
The explosive growth of video streaming presents challenges in achieving high accuracy and low training costs for video-language retrieval. However, existing methods rely on large-…
ShoulderShot: Generating Over-the-Shoulder Dialogue Videos
Yuang Zhang, Junqi Cheng, Haoyu Zhao +4
Over-the-shoulder dialogue videos are essential in films, short dramas, and advertisements, providing visual variety and enhancing viewers' emotional connection. Despite their impo…
Replace in Translation: Boost Concept Alignment in Counterfactual Text-to-Image
Sifan Li, Ming Tao, Hao Zhao +2
Text-to-Image (T2I) has been prevalent in recent years, with most common condition tasks having been optimized nicely. Besides, counterfactual Text-to-Image is obstructing us from…
DynamiCtrl: Rethinking the Basic Structure and the Role of Text for High-quality Human Image Animation
Haoyu Zhao, Zhongang Qi, Cong Wang +5
With diffusion transformer (DiT) excelling in video generation, its use in specific tasks has drawn increasing attention. However, adapting DiT for pose-guided human image animatio…
EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolation
Zihao Zhang, Haoran Chen, Haoyu Zhao +4
Handling complex or nonlinear motion patterns has long posed challenges for video frame interpolation. Although recent advances in diffusion-based methods offer improvements over t…
EasyControl: Transfer ControlNet to Video Diffusion for Controllable Generation and Interpolation
Cong Wang, Jiaxi Gu, Panwen Hu +5
Following the advancements in text-guided image generation technology exemplified by Stable Diffusion, video generation is gaining increased attention in the academic community. Ho…
AutoTVG: A New Vision-language Pre-training Paradigm for Temporal Video Grounding
Xing Zhang, Jiaxi Gu, Haoyu Zhao +6
Temporal Video Grounding (TVG) aims to localize a moment from an untrimmed video given the language description. Since the annotation of TVG is labor-intensive, TVG under limited s…
FlexiFilm: Long Video Generation with Flexible Conditions
Yichen Ouyang, jianhao Yuan, Hao Zhao +2
Generating long and consistent videos has emerged as a significant yet challenging problem. While most existing diffusion-based video generation models, derived from image generati…
MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and Editing
Haoyu Zhao, Tianyi Lu, Jiaxi Gu +5
The diffusion model is widely leveraged for either video generation or video editing. As each field has its task-specific problems, it is difficult to merely develop a single diffu…
Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation
Jiaxi Gu, Shicong Wang, Haoyu Zhao +7
Inspired by the remarkable success of Latent Diffusion Models (LDMs) for image synthesis, we study LDM for text-to-video generation, which is a formidable challenge due to the comp…