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Xiang Zhang

17 papers hereh-index 8528 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author13

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • cs.GR2
same name
  • Xiang Zhang — 59 papers, h 49
  • Xiang Zhang — 46 papers, h 113
  • Xiang Zhang — 21 papers, h 8
  • Xiang Zhang — 18 papers, h 19
  • Xiang Zhang — 16 papers, h 30
  • Xiang Zhang — 16 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedPose Recognition with Cascade Transformers

7 citations · 8 across the 10 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

OverLay++: Dense-Overlap Layout-to-Image Generation Dataset

Shivansh Aggarwal, Shresth Grover, Divyansh Srivastava +7

Layout-to-Image generation has made substantial progress in spatial and object-level control. However, existing methods still struggle with complex scenes containing many overlappi…

cs.CV2026

NaLA: A 3D Native LLM Layout Agent for High-quality 3D Scene Generation

Cheng Wan, Yongsen Mao, Wenzheng Wu +7

Recently, Large Language Models (LLMs) have emerged as promising layout agents for 3D scene generation. Existing layout agents still suffer from implausible layout generation becau…

cs.CV2026

CyCLeGen: Cycle-Consistent Layout Prediction and Image Generation in Vision Foundation Models

Xiaojun Shan, Haoyu Shen, Yucheng Mao +5

We present CyCLeGen, a unified vision-language foundation model capable of both image understanding and image generation within a single autoregressive framework. Unlike existing v…

cs.CV2026

PixARMesh: Autoregressive Mesh-Native Single-View Scene Reconstruction

Xiang Zhang, Sohyun Yoo, Hongrui Wu +3

We introduce PixARMesh, a method to autoregressively reconstruct complete 3D indoor scene meshes directly from a single RGB image. Unlike prior methods that rely on implicit signed…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.