activity
20232026
most citedInFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior

4 citations · 6 across the 25 of their papers we have counts for

collaborators

27 papers

cs.CV2026

WorldMemBench: A Comprehensive Benchmark for Memory of Video World Models

Nan Zhou, Jianxiong Gao, Qiuyu Wang +10

As video models enable longer and more realistic interactive experiences, maintaining a world consistent with its history becomes essential. This requires both preserving previousl…

cs.CV2026

CameraAnything: Refilming Videos with Arbitrary Camera Control

Yixuan Li, Yanhong Zeng, Ka Leong Cheng +11

We introduce CameraAnything, the first unified framework for camera controlled video editing that enables joint control of both intrinsic and extrinsic camera parameters. Existing…

cs.CV2026

Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence

Shuailei Ma, Jiaqi Liao, Xinyang Wang +24

Despite the recent promise in robot control, video generative models suffer from a domain mismatch due to their primary focus on content creation. For example, their design inheren…

cs.CV2026

Infinite Worlds with Versatile Interactions

Zelin Gao, Qiuyu Wang, Jiapeng Zhu +17

We present LingBot-World 2.0 (also known as LingBot-World-Infinity), an advanced iteration of LingBot-World featuring four distinct upgrades. (1) Our model achieves an unbounded in…

cs.CV2026

WorldDirector: Building Controllable World Simulators with Persistent Dynamic Memory

Hanlin Wang, Hao Ouyang, Qiuyu Wang +10

We present WorldDirector, a highly controllable video world model framework designed for persistent dynamic object memory and unrestricted viewpoint exploration. Unlike existing wo…

cs.CV2026

AAD-1: Asymmetric Adversarial Distillation for One-Step Autoregressive Video Generation

Haobo Li, Yanhong Zeng, Yunhong Lu +6

We present AAD-1, an Asymmetric Adversarial Distillation framework for One-step autoregressive image-to-video generation. State-of-the-art methods adopt adversarial distillation bu…

cs.CV2026

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives

Yihao Meng, Zichen Liu, Hao Ouyang +11

Autoregressive video generation aims at real-time, open-ended synthesis. Yet, cinematic storytelling is not merely the endless extension of a single scene; it requires progressing…

cs.CV2026

Advancing Open-source World Models

Robbyant Team, Zelin Gao, Qiuyu Wang +21

We present LingBot-World, an open-sourced world simulator stemming from video generation. Positioned as a top-tier world model, LingBot-World offers the following features. (1) It…

cs.CV2025

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Yunhong Lu, Yanhong Zeng, Haobo Li +9

Efficient streaming video generation is critical for simulating interactive and dynamic worlds. Existing methods distill few-step video diffusion models with sliding window attenti…

cs.CV2025

The World is Your Canvas: Painting Promptable Events with Reference Images, Trajectories, and Text

Hanlin Wang, Hao Ouyang, Qiuyu Wang +12

We present WorldCanvas, a framework for promptable world events that enables rich, user-directed simulation by combining text, trajectories, and reference images. Unlike text-only…

cs.CV2025

MagicQuillV2: Precise and Interactive Image Editing with Layered Visual Cues

Zichen Liu, Yue Yu, Hao Ouyang +11

We propose MagicQuill V2, a novel system that introduces a \textbf{layered composition} paradigm to generative image editing, bridging the gap between the semantic power of diffusi…

cs.CV2025

HoloCine: Holistic Generation of Cinematic Multi-Shot Long Video Narratives

Yihao Meng, Hao Ouyang, Yue Yu +9

State-of-the-art text-to-video models excel at generating isolated clips but fall short of creating the coherent, multi-shot narratives, which are the essence of storytelling. We b…

cs.CV2025

Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset

Qingyan Bai, Qiuyu Wang, Hao Ouyang +10

Instruction-based video editing promises to democratize content creation, yet its progress is severely hampered by the scarcity of large-scale, high-quality training data. We intro…

cs.CL2025

Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models

Wen Wang, Bozhen Fang, Chenchen Jing +6

Diffusion large language models (dLLMs) generate text through iterative denoising, yet current decoding strategies discard rich intermediate predictions in favor of the final outpu…

cs.CV2025

Calligrapher: Freestyle Text Image Customization

Yue Ma, Qingyan Bai, Hao Ouyang +8

We introduce Calligrapher, a novel diffusion-based framework that innovatively integrates advanced text customization with artistic typography for digital calligraphy and design ap…

cs.CV2025

Seeing through Satellite Images at Street Views

Ming Qian, Bin Tan, Qiuyu Wang +5

This paper studies the task of SatStreet-view synthesis, which aims to render photorealistic street-view panorama images and videos given any satellite image and specified camera p…

cs.CV2025

AniDoc: Animation Creation Made Easier

Yihao Meng, Hao Ouyang, Hanlin Wang +6

The production of 2D animation follows an industry-standard workflow, encompassing four essential stages: character design, keyframe animation, in-betweening, and coloring. Our res…

cs.CV2025

Edicho: Consistent Image Editing in the Wild

Qingyan Bai, Hao Ouyang, Yinghao Xu +5

As a verified need, consistent editing across in-the-wild images remains a technical challenge arising from various unmanageable factors, like object poses, lighting conditions, an…

cs.CV2024

DepthLab: From Partial to Complete

Zhiheng Liu, Ka Leong Cheng, Qiuyu Wang +7

Missing values remain a common challenge for depth data across its wide range of applications, stemming from various causes like incomplete data acquisition and perspective alterat…

cs.CV2024

LeviTor: 3D Trajectory Oriented Image-to-Video Synthesis

Hanlin Wang, Hao Ouyang, Qiuyu Wang +5

The intuitive nature of drag-based interaction has led to its growing adoption for controlling object trajectories in image-to-video synthesis. Still, existing methods that perform…

cs.CV2024

Framer: Interactive Frame Interpolation

Wen Wang, Qiuyu Wang, Kecheng Zheng +6

We propose Framer for interactive frame interpolation, which targets producing smoothly transitioning frames between two images as per user creativity. Concretely, besides taking t…

cs.CV2024★ 1 cited

MagicQuill: An Intelligent Interactive Image Editing System

Zichen Liu, Yue Yu, Hao Ouyang +6

Image editing involves a variety of complex tasks and requires efficient and precise manipulation techniques. In this paper, we present MagicQuill, an integrated image editing syst…

cs.CV2024★ 4 cited

InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior

Zhiheng Liu, Hao Ouyang, Qiuyu Wang +7

3D Gaussians have recently emerged as an efficient representation for novel view synthesis. This work studies its editability with a particular focus on the inpainting task, which…

cs.CV2023

GenDeF: Learning Generative Deformation Field for Video Generation

Wen Wang, Kecheng Zheng, Qiuyu Wang +5

We offer a new perspective on approaching the task of video generation. Instead of directly synthesizing a sequence of frames, we propose to render a video by warping one static im…