Pith. sign in

Paper Citation Record · LEDGER

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer

As of 13 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2412.16670.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.16670 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:25:12.007539Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved31
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7444b077-e86b-4276-928e-400d95366ffa · outbound

This paper cites Intergen: Diffusion- based multi-human motion generation under complex interactions,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Intergen: Diffusion- based multi-human motion generation under complex interactions,

Reference 1

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T10:25:12.559409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T10:25:11.848489Z digest=sha256:97d26f05b12bc45217e0726728de3a39020a49af0a08c01f21cdd102a84d74d3

Observation 3693ec4b-11ba-45de-b80a-904f4f00cf16 · outbound

This paper cites Human Motion Diffusion Model.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Human Motion Diffusion Model

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.852848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.852848Z digest=sha256:e46fc75529258720f5dacbf9debd8d7d4a100c506fbf8d295d01400daabd5f4d

Observation c44c3f4f-32f8-493f-ac04-a533f90a14ce · outbound

This paper cites Human Motion Diffusion as a Generative Prior.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Human Motion Diffusion as a Generative Prior

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.857466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.857466Z digest=sha256:9c56c0c5bfad9da451aba68d8a112f5cc899250d88eafac14e9ea54149919f56

Observation fb410ce8-24d1-4451-b9c7-0f67b68054f1 · outbound

This paper cites InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.861738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.861738Z digest=sha256:9bdd1af958f0a6987dbbe180b0bffcf1d06289b786968617494ec28f81f8af08

Observation 5af25614-ce10-43fa-a177-0aeeb0431e03 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer High- resolution image synthesis with latent diffusion models,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.866276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.866276Z digest=sha256:a25761a1903e20b4f06b1d3fd5961dc0e1eb878b37520fbf9a719dc6cce31b7e

Observation 5db837ab-b43f-4c4d-9e2c-0a4562986c98 · outbound

This paper cites Diffusion models beat gans on image synthesis,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Diffusion models beat gans on image synthesis,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.870000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.870000Z digest=sha256:afc5b3d7b04a0346a2f556b7735252f4d723a3e78aada2653c170225b0b14ba0

Observation 9d4268f9-c684-4d43-a99a-a06a9f7a2f88 · outbound

This paper cites MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.874007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.874007Z digest=sha256:18ee808a09a476aa2c1ffecb1fdcea8c78c7ee2f9c7e475c4947df85a117f9e9

Observation 025d326c-06e8-4400-ad97-3f8eab1e3a38 · outbound

This paper cites Physdiff: Physics- guided human motion diffusion model,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Physdiff: Physics- guided human motion diffusion model,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.877812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.877812Z digest=sha256:e4e54a2229586920628b18198609e456bd38135dd7c4d2c90a230d395bc89b87

Observation 8c7c945c-b807-4a4c-b43e-8f3c1ef14981 · outbound

This paper cites EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.881358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.881358Z digest=sha256:99062c75b2bee2a0ccaf1235efa3606eacd37af8c6eddd049b2cf6907931ba7c

Observation f7cbc58e-1bb3-44df-905a-3ca72efd5c65 · outbound

This paper cites Listen, denoise, action! audio-driven motion synthesis with diffusion models,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Listen, denoise, action! audio-driven motion synthesis with diffusion models,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.885149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.885149Z digest=sha256:1de842e098f3682ba128485a26189871be9939ec277a208a9fa71c333af4ce8d

Observation a75fb548-c9a9-4a61-82a4-90f1ebac1169 · outbound

This paper cites Executing your commands via motion diffusion in latent space,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Executing your commands via motion diffusion in latent space,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.888433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.888433Z digest=sha256:7370e46cd932deecbf92b960347fdcdfb056896a6e341de07e0d5f2c3ef3be4e

Observation c34a814d-3a6a-4921-a00d-ce259b17d422 · outbound

This paper cites Action2motion: Conditioned generation of 3d human motions,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Action2motion: Conditioned generation of 3d human motions,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.891702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.891702Z digest=sha256:2ed45cc9614c4ccbbe625856f5486303504114116553001cae4c98a80f2056fd

Observation cc8a5b91-77a8-41ea-abf0-26ec6d3bae1c · outbound

This paper cites Action-conditioned 3d human motion synthesis with transformer vae,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Action-conditioned 3d human motion synthesis with transformer vae,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:25:12.497181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T10:25:11.895402Z digest=sha256:141fc590480415fe1b3373a159c1a3ee0f30787872c26e3792f2de8c2f6c18ef

Observation 6e2de7b4-4203-4f79-9c1b-d5a801437e9e · outbound

This paper cites Text2action: Generative adversarial synthesis from language to action,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Text2action: Generative adversarial synthesis from language to action,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:25:12.484755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T10:25:11.899044Z digest=sha256:536f017d2ab92bd7f23f691e2fd9efd1eaf12ede77b64d4fd017b017cfcaee30

Observation cadebe3f-9a4d-40f0-86ae-c0b8fc77b018 · outbound

This paper cites Temos: Generating diverse human motions from textual descriptions,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Temos: Generating diverse human motions from textual descriptions,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.902684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.902684Z digest=sha256:fcb47026dbb36b0c89a30d4d85f6f8622c4875bc6899b3527234657b5a13ab45

Observation 682ccf81-7405-4b82-9f5b-b3f8536aff11 · outbound

This paper cites Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:25:12.462006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T10:25:11.906245Z digest=sha256:6b3e4bbac20a087e170ebb88b7a72ebdda308717d36cc8db2d05e0421d6ed221

Observation 9123dc25-d1b8-41e2-b080-c28b478d50ee · outbound

This paper cites Generating human motion from textual descriptions with discrete representations,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Generating human motion from textual descriptions with discrete representations,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:25:12.449802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T10:25:11.909546Z digest=sha256:01af85c0437f4c4b7535d4d902e9f7dfe1f95299463c6d9143074d2de031c87a

Observation 335d012d-21f5-47a5-a95e-847204ee9ea0 · outbound

This paper cites Ai choreographer: Music conditioned 3d dance generation with aist++,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Ai choreographer: Music conditioned 3d dance generation with aist++,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.912827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.912827Z digest=sha256:d03e3f71c436b5b31e551099ac7cf4422c23cedf1462fa2ffba27cbdb24fb23d

Observation 86433db1-06a4-4235-b5ef-284c2844f484 · outbound

This paper cites Generating diverse and natural 3d human motions from text,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Generating diverse and natural 3d human motions from text,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.916233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.916233Z digest=sha256:9c7a9c283e162990eda81f071c94f68a650bf8a6572003f2d215b18c36e6b14a

Observation a80cf2ef-2e1d-470a-bee2-d1553616ebb3 · outbound

This paper cites Bailando: 3d dance generation by actor-critic gpt with choreographic memory,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Bailando: 3d dance generation by actor-critic gpt with choreographic memory,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.919541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.919541Z digest=sha256:e3bffd5983957e4b5ea4aac5e71a22554111737e2bda1880313181bd64148390

Observation de855df7-e235-4067-9396-ad2109b42c08 · outbound

This paper cites Audio2gestures: Generating diverse gestures from speech audio with conditional variational autoencoders,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Audio2gestures: Generating diverse gestures from speech audio with conditional variational autoencoders,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:25:12.412322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T10:25:11.923017Z digest=sha256:594fd2607c190134b14f42c84e7ffaa1e027d0c26e5d39ff02e59fce0274fe85

Observation dadd2525-32e2-4200-8ef3-1bc729381d4a · outbound

This paper cites Beat: A large-scale semantic and emotional multi-modal dataset for conversational gestures synthesis,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Beat: A large-scale semantic and emotional multi-modal dataset for conversational gestures synthesis,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:25:12.399088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T10:25:11.926397Z digest=sha256:436e7eefcd98b29e3418666d00281177e187f6a2aaffb01413b925874014fa43

Observation 482fbddf-4e39-499a-9043-8e81872926e3 · outbound

This paper cites Action-conditioned on-demand motion generation,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Action-conditioned on-demand motion generation,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:25:12.385436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T10:25:11.929558Z digest=sha256:032525a09938f0b6cab4d1f4f84078b585a819b86953068cc95b3a9fd6a88f8c

Observation bf7ae7ec-7004-4173-99e2-185a3c6f55c3 · outbound

This paper cites Posegpt: Quantization-based 3d human motion generation and forecasting,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Posegpt: Quantization-based 3d human motion generation and forecasting,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:25:12.372382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T10:25:11.932947Z digest=sha256:afd3985bcec2033b7b159af676bbf8a5289c0e61f711fd02edffaea6573da4ee

Observation c8f7ab19-b8ea-4179-a806-33d75b30468a · outbound

This paper cites Motionclip: Exposing human motion generation to clip space,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Motionclip: Exposing human motion generation to clip space,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:25:12.358482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T10:25:11.936385Z digest=sha256:bce606f5013f70a593210d04bbfda95199bd6b54957469e98e695e2274744906

Observation 58a57b73-b239-4c57-a687-94ccb8eda6d6 · outbound

This paper cites Humantomato: Text-aligned whole-body motion generation,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Humantomato: Text-aligned whole-body motion generation,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:25:12.345707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T10:25:11.940031Z digest=sha256:0de6fc3af8a3d6f5b4460acd13621991531c85647c9ac69dba39490a26f357e5

Observation 389f906d-334a-4fac-a47b-d2d245da0a66 · outbound

This paper cites OmniControl: Control Any Joint at Any Time for Human Motion Generation.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer OmniControl: Control Any Joint at Any Time for Human Motion Generation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.948161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.948161Z digest=sha256:7a15afadf25b51d9494c06c67be4570e77a373d7f846a960a8bf4a7e895b3a7c

Observation cc6d8a34-f16f-4475-b2e0-fd04fd7f38f4 · outbound

This paper cites Text2motion: from natural language instructions to feasible plans,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Text2motion: from natural language instructions to feasible plans,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.952144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.952144Z digest=sha256:1fe38549f5f8cd4691337fe13c6bef8ec95fd3c70a5dd28e5b4bb544b3c9226f

Observation 1cceec5f-a770-4cc6-a217-37323563d0b6 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Denoising Diffusion Probabilistic Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.955770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.955770Z digest=sha256:bc46b7d2764188743851fb6315af92a63b575232f4fa27e299fa2d278075e570

Observation 6e20a69d-97ec-4c81-be27-f1e023b3b9e0 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Classifier-Free Diffusion Guidance

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.959469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.959469Z digest=sha256:1ba07ad90e30ed318f9e2ddd8740efe1e8644b03048dface65d0be1c4827ba13

Observation c71ce27d-81d5-4e1a-9e38-4cf6a5d1d734 · outbound

This paper cites Scalable diffusion models with transformers,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Scalable diffusion models with transformers,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:25:12.333320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T10:25:11.962987Z digest=sha256:4170ed0f740d7c82b1b544c1507032b447538803c521c8fa2bd274b74d3488a1

Observation 7342d3c9-df8d-4624-b117-06bd8783aaa1 · outbound

This paper cites 6d rotation representation for unconstrained head pose estimation,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer 6d rotation representation for unconstrained head pose estimation,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.970364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.970364Z digest=sha256:78ab79ff9f540260e7301718ddf7bea1cec8620971885dfeb779084cc60799b7

Observation 95ba7443-7ed2-481e-8cf1-99f85ce064f0 · outbound

This paper cites Scalable Diffusion Models with Transformers.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Scalable Diffusion Models with Transformers

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.966449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.966449Z digest=sha256:cc23ae744ff7f73af0902f393d0f6ff7c6337d051bd0b1bde8db60e67f5c6fbc

Observation 63548cd1-a47d-473e-bd4d-464adc45e615 · outbound

This paper cites Auto-Encoding Variational Bayes.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Auto-Encoding Variational Bayes

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.977726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.977726Z digest=sha256:9e0db2c0a8f03b24254f05f47ff868b5ca76afa80ce885d48c5143200ea4362a

Observation 71340758-b045-4e7a-8f6e-d8265f691c79 · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.973867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.973867Z digest=sha256:9dd5bd69723af4f2b4547e2323cb27f21aacda104011c1498783c6be581c0a2e

Observation d4a25710-ccf9-406f-8fa1-4591d33f93d5 · outbound

This paper cites FreeMotion: A Unified Framework for Number-free Text-to-Motion Synthesis.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer FreeMotion: A Unified Framework for Number-free Text-to-Motion Synthesis

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-11T10:25:12.114864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T10:25:11.984951Z digest=sha256:58dc5fa317ee30687a2fb336ecbf1488acec226f961593cfb77b9ec397a0edb7

Observation 8c3c4d8d-862e-4e61-b4d6-23e70b5dc0ac · outbound

This paper cites Denoising Diffusion Implicit Models.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Denoising Diffusion Implicit Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.981591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.981591Z digest=sha256:74192a65c7b9f0cf75db21b47240f7871c3d6106bd0d2040aab05ac0c1e59386

Observation bcea29d0-ed32-400d-a8a7-02abdf3b55fb · outbound

This paper cites Variational Inference with Normalizing Flows.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Variational Inference with Normalizing Flows

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.992322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.992322Z digest=sha256:e6da8cf7d6445415a8e05b47bf6cd2be2058fba82d2ba4b9c08b3be9b401363c

Observation beaff983-1896-442d-869c-18d18871ed4e · outbound

This paper cites Generative Adversarial Networks.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Generative Adversarial Networks

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.988609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.988609Z digest=sha256:56c588f35cf2e1b0f45e481095eabd1db6c0d7302412b9a864d5015275e72264

Observation 2646fd8c-41b8-4917-ac5f-2ee46118945d · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Learning Transferable Visual Models From Natural Language Supervision

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.999645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.999645Z digest=sha256:aa720923fce5bc75f76502507be767a8dbdf04ed3ba05f3020c27ecf88b7aa1c

Observation 29411e38-d2d7-4fef-bae1-fd485c00a744 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.995916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.995916Z digest=sha256:78d1f9e48adb081c6f4d4cefb8bfce79384d517d2c2e60ad173f1f0d4e84eacd

Observation 2f4478d2-521b-4806-9650-d9bcb9894243 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:12.007539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:12.007539Z digest=sha256:c681bf7a0d8adc97ee3e11919196e1e749497526aae52053b7b6119632bf0a99

Observation fecf5dec-34e7-480f-9f4d-25eada18ea4c · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:12.003741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:12.003741Z digest=sha256:22bb87e3049c46d1474475ba247438fa1948e979acd1e496a8220e1d564bd924

Observation 49783e9f-c7bc-47b8-b84b-1d75bc646090 · outbound

This paper cites HumanTOMATO: Text-aligned Whole-body Motion Generation.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer HumanTOMATO: Text-aligned Whole-body Motion Generation

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:11.943916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.943916Z digest=sha256:3858c7c7fa1da8b52269dacb317298b5940078b233f9d05edb8cbef91a47589a

Pith citing papers

No inbound Pith citation observations are available.