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20172026
most citedRethinking Reprojection: Closing the Loop for Pose-aware ShapeReconstruction from a Single Image

41 citations · 140 across the 62 of their papers we have counts for

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Showing 2026Show all

15 papers · 1 filter

cs.CV2026

Disparity Has a Sign: Stereo Matching Beyond the Zero-Disparity Plane

Jian Shi, Xinge Yang, Chaoyang Wang +2

Modern stereo matching models fail when disparity crosses zero, with end-point error (EPE) rising by 4.6-37. Yet stereoscopic content, from cinema 3D to VR, routinely conta…

cs.CV2026

EgoPlay: Event-Triggered Video Editing for Egocentric Streams

Jinjie Mai, Gordon Guocheng Qian, Willi Menapace +8

We introduce EgoPlay, an event-triggered video-to-video editor for egocentric streams, obtained by fine-tuning a pretrained V2V diffusion transformer on event-conditioned data buil…

cs.CV2026

RegHead: Non-Humanoid Head Blendshapes via Feed-Forward Registration

Jiahao Luo, Hao Zhang, Jianqi Chen +9

We present RegHead, a framework for constructing semantic blendshape sets for animatable non-humanoid head avatars. With a fixed expression vocabulary, semantic blendshapes provide…

cs.CV2026

MeshLoom: Feed-Forward Non-Rigid Registration of Mesh Sequences

Jianqi Chen, Jiraphon Yenphraphai, Xiangjun Tang +4

We present MeshLoom, a feed-forward registration network that directly reconstructs vertex deformations across mesh sequences. Our approach advances non-rigid registration beyond e…

cs.CV2026

GeoStream: Toward Precise Camera Controlled Streaming Video Generation

Yizhou Zhao, Yifan Wang, Xiaoyuan Wang +11

Accurate interactive camera control is essential for video-based world models, but most existing approaches learn camera motion implicitly, leading to inaccurate control under out-…

cs.CV2026

FROST-STA: Frozen Dense Features for the Ego4D Short-Term Object Interaction Anticipation

Chaoyang Wang, Lexuan Xu

Short-term anticipation in egocentric video requires more than recognizing the current scene: a system must infer which object the camera wearer will contact, which action will fol…

cs.CV2026

TAP-JEPA: Frozen Future-Latent Probing and Two-Stage Score Fusion for EPIC-KITCHENS-100 Action Anticipation

Chaoyang Wang, Lexuan Xu

This report presents TAP-JEPA, our runner-up submission to the EPIC-KITCHENS-100 (EK-100) Action Anticipation Challenge at EgoVis 2026. The task is to anticipate the next verb, nou…

cs.CV2026

Helix4D: Complex 4D Mesh Generation

Jiraphon Yenphraphai, Jianqi Chen, Jian Wang +6

Current video-to-4D methods struggle with complex topology changes, transparent materials, thin structures, and inner surfaces. We present Helix4D, a dynamic mesh generation framew…

cs.CV2026

One-Step Distillation of Discrete Diffusion Image Generators via Fixed-Point Iteration

Chaoyang Wang, Yunhai Tong

Discrete diffusion models excel at visual synthesis but rely on slow, iterative decoding. Existing single-step distillation methods attempt to bypass this bottleneck, either by tra…

cs.CV2026

Rethinking Vector Field Learning for Generative Segmentation

Chaoyang Wang, Yaobo Liang, Boci Peng +3

Taming diffusion models for generative segmentation has attracted increasing attention. While existing approaches primarily focus on architectural tweaks or training heuristics, th…

cs.CV2026

VLA-Thinker: Boosting Vision-Language-Action Models through Thinking-with-Image Reasoning

Chaoyang Wang, Wenrui Bao, Sicheng Gao +5

Vision-Language-Action (VLA) models have shown promising capabilities for embodied intelligence, but most existing approaches rely on text-based chain-of-thought reasoning where vi…

cs.CV2026

V-Retrver: Evidence-Driven Agentic Reasoning for Universal Multimodal Retrieval

Dongyang Chen, Chaoyang Wang, Dezhao Su +6

Multimodal Large Language Models (MLLMs) have recently been applied to universal multimodal retrieval, where Chain-of-Thought (CoT) reasoning improves candidate reranking. However,…

cs.CV2026

OmniView: An All-Seeing Diffusion Model for 3D and 4D View Synthesis

Xiang Fan, Sharath Girish, Vivek Ramanujan +6

Prior approaches injecting camera control into diffusion models have focused on specific subsets of 4D consistency tasks: novel view synthesis, text-to-video with camera control, i…

cs.GR2026

RigMo: Unifying Rig and Motion Learning for Generative Animation

Hao Zhang, Jiahao Luo, Bohui Wan +7

Despite significant progress in 4D generation, rig and motion, the core structural and dynamic components of animation are typically modeled as separate problems. Existing pipeline…

cs.LG2026

Revisiting Diffusion Model Predictions Through Dimensionality

Qing Jin, Chaoyang Wang

Recent advances in diffusion and flow matching models have highlighted a shift in the preferred prediction target -- moving from noise () and velocity (v) to direct da…